Name: Automated Software Testing with Python
Price: 89.99 GBP
Availability: InStock

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				<div>
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			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>Python is a powerful and versatile programming language that is used for a wide variety of tasks. In this course, you will learn the basics of Python, including variables, data types, control flow, functions, and modules. You will also learn about object-oriented programming and how to use Python to build web applications. Python is a great language for beginners because it is easy to learn and use. It is also a very popular language, so there are many resources available to help you learn.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
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				<div>
				<div>
			<div>
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				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
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				<div>
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			<div>
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				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to a computer or digital device with internet connectivity.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Module :01</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Installing Python</td>
					<td><span>FREE</span> </td>
					<td><span>🕐 00:17:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Documentation</td><td><span>🕐 00:30:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Command Line</td><td><span>🕐 00:17:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Variables</td><td><span>🕐 00:29:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Simple Python Syntax</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Keywords</td><td><span>🕐 00:18:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Import Module</td><td><span>🕐 00:17:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Additional Topics</td><td><span>🕐 00:23:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module :02</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>If Elif Else</td><td><span>🕐 00:31:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Iterable</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>For</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Loops</td><td><span>🕐 00:20:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Execute</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Exceptions</td><td><span>🕐 00:18:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data Types</td><td><span>🕐 00:24:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module :03</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Number Types</td><td><span>🕐 00:28:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>More Number Types</td><td><span>🕐 00:13:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Strings</td><td><span>🕐 00:20:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>More Strings</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Files</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Lists</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Dictionaries</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Tuples</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Sets</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module :04</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Comprehensions</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Definitions</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Functions</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Default Arguments</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Doc Strings</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Variadic Functions</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Factorial</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Function Objects</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module :05</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Lambda</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Generators</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Closures</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Classes</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Object Initialization</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Class Static Members</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Classic Inheritance</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data Hiding</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Mock Exam</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam- Python 3 for Beginners</td><td><span>🕐 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Final Exam</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam- Python 3 for Beginners</td><td><span>🕐 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Order Your Certificate</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificate</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Python is a powerful and versatile programming language that is used for a wide variety of tasks. In this course, you will learn the basics of Python, including variables, data types, control flow, functions, and modules. You will also learn about object-oriented programming and how to use Python to build web applications. Python is a great language for beginners because it is easy to learn and use. It is also a very popular language, so there are many resources available to help you learn.
 Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
 Why should I take this course?
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
 Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Course Curriculum
Module :01			
▶	Installing Python	FREE	🕐 00:17:00
▶	Documentation	🕐 00:30:00
▶	Command Line	🕐 00:17:00
▶	Variables	🕐 00:29:00
▶	Simple Python Syntax	🕐 00:15:00
▶	Keywords	🕐 00:18:00
▶	Import Module	🕐 00:17:00
▶	Additional Topics	🕐 00:23:00
Module :02			
▶	If Elif Else	🕐 00:31:00
▶	Iterable	🕐 00:10:00
▶	For	🕐 00:11:00
▶	Loops	🕐 00:20:00
▶	Execute	🕐 00:05:00
▶	Exceptions	🕐 00:18:00
▶	Data Types	🕐 00:24:00
Module :03			
▶	Number Types	🕐 00:28:00
▶	More Number Types	🕐 00:13:00
▶	Strings	🕐 00:20:00
▶	More Strings	🕐 00:11:00
▶	Files	🕐 00:08:00
▶	Lists	🕐 00:15:00
▶	Dictionaries	🕐 00:04:00
▶	Tuples	🕐 00:07:00
▶	Sets	🕐 00:09:00
Module :04			
▶	Comprehensions	🕐 00:10:00
▶	Definitions	🕐 00:02:00
▶	Functions	🕐 00:06:00
▶	Default Arguments	🕐 00:06:00
▶	Doc Strings	🕐 00:06:00
▶	Variadic Functions	🕐 00:07:00
▶	Factorial	🕐 00:07:00
▶	Function Objects	🕐 00:07:00
Module :05			
▶	Lambda	🕐 00:11:00
▶	Generators	🕐 00:06:00
▶	Closures	🕐 00:10:00
▶	Classes	🕐 00:09:00
▶	Object Initialization	🕐 00:05:00
▶	Class Static Members	🕐 00:07:00
▶	Classic Inheritance	🕐 00:10:00
▶	Data Hiding	🕐 00:07:00
Mock Exam			
	Mock Exam- Python 3 for Beginners	🕐 00:20:00
Final Exam			
	Final Exam- Python 3 for Beginners	🕐 00:20:00
Order Your Certificate			
	Order Your Certificate	🕐 00:00:00

Skill Up

Dive into the world of coding! Learn Python from scratch, solve real-world problems, make cool projects. No prior experience needed. Start your coding journey now!

Python for Beginners Online Course

General Admission

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming  that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to a computer or digital device with internet connectivity.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
 Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
 Why should I take this course?
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
 Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.

Get ready for a comprehensive Python programming journey! Master the fundamentals, tackle advanced concepts, and build real-world projects. Join now!

Python Programming Complete Training

<section>
						<div>
				<div>
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					<div>
				<div>

				</div>
				<div>
				<div>
					<div><p><span>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python: Higher Order Functions</span><span> has been specially designed to help learners gain a good command of Python: Higher Order Functions</span><span>, providing them with a solid foundation of knowledge to become a qualified professional.</span></p><p><span>Through this Python: Higher Order Functions</span><span>, you will gain both practical and theoretical understanding of Python: Higher Order Functions</span><span> that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</span></p><p><span>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals. </span></p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
																					</div>
				</div>
				</div>
				<div>
				<h2>Learning outcome</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Get a deep understanding of the Python: Higher Order Functions just in hours not years</span>
									</li>
								<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical and practical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span> Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want </span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
				<div>
			<div>
					<div>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
																					</div>
				</div>
				</div>
				<div>
				<h2>Requirements</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to any internet-enabled smart device.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<h2>Why should I take this course?</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>1 hours of on-demand video lectures and downloadable resources.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful salespeople to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various practical sales techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong> Module 01: Course Introduction</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Simple Higher Order Functions</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Simple Higher Order Functions</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Sorting with Keys</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Sorting with Keys</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Map Function</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Map Function</td><td><span>🕐 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 05: Filter Function</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Filter Function</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 06: List Comprehension Alternative</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>List Comprehension Alternative</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 07: Recursion Introduction</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to Recursion</td><td><span>🕐 00:07:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python: Higher Order Functions has been specially designed to help learners gain a good command of Python: Higher Order Functions, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Python: Higher Order Functions, you will gain both practical and theoretical understanding of Python: Higher Order Functions that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals. 
Learning outcome
Get a deep understanding of the Python: Higher Order Functions just in hours not years
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical and practical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to any internet-enabled smart device.
Why should I take this course?
1 hours of on-demand video lectures and downloadable resources.
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
You will be able to incorporate various practical sales techniques successfully and understand your customers better.
Course Curriculum
Module 01: Course Introduction			
▶	Introduction	🕐 00:01:00
Module 02: Simple Higher Order Functions			
▶	Simple Higher Order Functions	🕐 00:05:00
Module 03: Sorting with Keys			
▶	Sorting with Keys	🕐 00:09:00
Module 04: Map Function			
▶	Map Function	🕐 00:14:00
Module 05: Filter Function			
▶	Filter Function	🕐 00:08:00
Module 06: List Comprehension Alternative			
▶	List Comprehension Alternative	🕐 00:04:00
Module 07: Recursion Introduction			
▶	Introduction to Recursion	🕐 00:07:00

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Python: Higher Order Functions

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
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					<div><p>Take this tremendous opportunity to transform yourself into highly skilled and recognised python experts by enrolling on our exclusive Python Programming - For Non Programmers course.</p><p>With the Python Programming - For Non Programmers course, you will gain knowledge about the fundamentals topics and acquire the necessary skills. It covers everything you need to get up to speed, from basic python, programming primitives to python coding, data visualization, web development and so on. Our exclusive and advanced curriculum that breaks down the topics is easy to understand, which helps you to reach the required aspects for this course. You can study at your own pace with 24/7 access. This course is accessible by any modern device with an internet connection.</p><p>Upon completing this Python Programming - For Non Programmers  course, you will ensure your professional position, progress further to higher levels of professional qualifications, and be able to raise your career curve swiftly. </p><p>Enrol now and dive in for a glorious career!!!</p></div>
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				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to a computer or digital device with internet connectivity.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Unit 01: Introduction to Python Programming</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Course Introduction</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 02: Getting Started with Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Software Installation</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Hello World Program</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Input and Output</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Calculating Average of 5 Numbers</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 03: Conditional Branching with Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: If Loop In Python</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Program Using If Else part 1</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Program Using If Else part 2</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Program for Calculator</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Program Using For Loop</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 06: For Table</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 07: For loop and Mathematical Operator in Python</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 08: Factorial of Number Using Python</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 09: Program Using While</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 10: While Loop Example</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 11: Tasks for Practice</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 04: Importing external/internal library in python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Importing Library in Python</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 05: Project Rock Paper and Scissors</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Rock Paper and Scissor Game</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 06: Strings Operation in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Program Using String part 1</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Program using String 2</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Program Using String 3</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Program Using String part 4</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 07: Date and time in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Use of Date and Time part 1</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Use of Date and Time part 2</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 08: File Handling, read and write using Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: File Handling Part 1</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: File Handling Part 2</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 09: Data Storage Structures, Tuple, List and Dictionary</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Tuple in Python Part 1</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Tuple in Python Part 2</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Using Lists part 1</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Using List part 2</td><td><span>🕐 00:12:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Using Lists part 3</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 06: Using Lists part 4</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 07: Using Lists part 5</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 08: Use of Dictionary Part 1</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 09: Use of Dictionary Part 2</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 10: Use of Dictionary Part 3</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 11: Use of Dictionary Part 4</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 10: Writing user functions in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Function in Python Part 1</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Function in Python Part 2</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Function in Python Part 3</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Function in Python Part 4</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Function in Python Part 5</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 11: Sending mail</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Send Email</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 12: Import Tricks in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Import Study part 1</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Import Study part 2</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 13: Import Operating System and Platform</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Importing OS</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Import Platform</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 14: Exceptions handling in python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Exception in Python part 1</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Exception in Python part 2</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Exception in Python part 3</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 15: Installing Packages and Scheduling In Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Installing Packages using built in package manager</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Scheduler in Python</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 16: Data Base In Python using sqlite</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Data Base 1</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Data Base 2</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Data Base 3</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Data base 4</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Data Base 5</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 17: Running Program from Command Prompt and jupyter Notebook</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: IDE_1</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: IDE_2</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 18: Conclusion</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Conclusion</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Resources</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources - Basic Python Programming</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Take this tremendous opportunity to transform yourself into highly skilled and recognised python experts by enrolling on our exclusive Python Programming - For Non Programmers course.
With the Python Programming - For Non Programmers course, you will gain knowledge about the fundamentals topics and acquire the necessary skills. It covers everything you need to get up to speed, from basic python, programming primitives to python coding, data visualization, web development and so on. Our exclusive and advanced curriculum that breaks down the topics is easy to understand, which helps you to reach the required aspects for this course. You can study at your own pace with 24/7 access. This course is accessible by any modern device with an internet connection.
Upon completing this Python Programming - For Non Programmers course, you will ensure your professional position, progress further to higher levels of professional qualifications, and be able to raise your career curve swiftly. 
Enrol now and dive in for a glorious career!!!
 Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
 Why should I take this course?
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
 Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Course Curriculum
Unit 01: Introduction to Python Programming			
▶	Module 01: Course Introduction	🕐 00:02:00
Unit 02: Getting Started with Python			
▶	Module 01: Software Installation	🕐 00:02:00
▶	Module 02: Hello World Program	🕐 00:06:00
▶	Module 03: Input and Output	🕐 00:07:00
▶	Module 04: Calculating Average of 5 Numbers	🕐 00:03:00
Unit 03: Conditional Branching with Python			
▶	Module 01: If Loop In Python	🕐 00:06:00
▶	Module 02: Program Using If Else part 1	🕐 00:03:00
▶	Module 03: Program Using If Else part 2	🕐 00:08:00
▶	Module 04: Program for Calculator	🕐 00:02:00
▶	Module 05: Program Using For Loop	🕐 00:08:00
▶	Module 06: For Table	🕐 00:05:00
▶	Module 07: For loop and Mathematical Operator in Python	🕐 00:04:00
▶	Module 08: Factorial of Number Using Python	🕐 00:06:00
▶	Module 09: Program Using While	🕐 00:05:00
▶	Module 10: While Loop Example	🕐 00:07:00
▶	Module 11: Tasks for Practice	🕐 00:02:00
Unit 04: Importing external/internal library in python			
▶	Module 01: Importing Library in Python	🕐 00:07:00
Unit 05: Project Rock Paper and Scissors			
▶	Module 01: Rock Paper and Scissor Game	🕐 00:06:00
Unit 06: Strings Operation in Python			
▶	Module 01: Program Using String part 1	🕐 00:05:00
▶	Module 02: Program using String 2	🕐 00:06:00
▶	Module 03: Program Using String 3	🕐 00:06:00
▶	Module 04: Program Using String part 4	🕐 00:03:00
Unit 07: Date and time in Python			
▶	Module 01: Use of Date and Time part 1	🕐 00:05:00
▶	Module 02: Use of Date and Time part 2	🕐 00:05:00
Unit 08: File Handling, read and write using Python			
▶	Module 01: File Handling Part 1	🕐 00:08:00
▶	Module 02: File Handling Part 2	🕐 00:07:00
Unit 09: Data Storage Structures, Tuple, List and Dictionary			
▶	Module 01: Tuple in Python Part 1	🕐 00:10:00
▶	Module 02: Tuple in Python Part 2	🕐 00:07:00
▶	Module 03: Using Lists part 1	🕐 00:07:00
▶	Module 04: Using List part 2	🕐 00:12:00
▶	Module 05: Using Lists part 3	🕐 00:06:00
▶	Module 06: Using Lists part 4	🕐 00:08:00
▶	Module 07: Using Lists part 5	🕐 00:02:00
▶	Module 08: Use of Dictionary Part 1	🕐 00:04:00
▶	Module 09: Use of Dictionary Part 2	🕐 00:05:00
▶	Module 10: Use of Dictionary Part 3	🕐 00:08:00
▶	Module 11: Use of Dictionary Part 4	🕐 00:07:00
Unit 10: Writing user functions in Python			
▶	Module 01: Function in Python Part 1	🕐 00:06:00
▶	Module 02: Function in Python Part 2	🕐 00:05:00
▶	Module 03: Function in Python Part 3	🕐 00:04:00
▶	Module 04: Function in Python Part 4	🕐 00:07:00
▶	Module 05: Function in Python Part 5	🕐 00:08:00
Unit 11: Sending mail			
▶	Module 01: Send Email	🕐 00:09:00
Unit 12: Import Tricks in Python			
▶	Module 01: Import Study part 1	🕐 00:07:00
▶	Module 02: Import Study part 2	🕐 00:03:00
Unit 13: Import Operating System and Platform			
▶	Module 01: Importing OS	🕐 00:06:00
▶	Module 02: Import Platform	🕐 00:05:00
Unit 14: Exceptions handling in python			
▶	Module 01: Exception in Python part 1	🕐 00:11:00
▶	Module 02: Exception in Python part 2	🕐 00:07:00
▶	Module 03: Exception in Python part 3	🕐 00:05:00
Unit 15: Installing Packages and Scheduling In Python			
▶	Module 01: Installing Packages using built in package manager	🕐 00:08:00
▶	Module 02: Scheduler in Python	🕐 00:05:00
Unit 16: Data Base In Python using sqlite			
▶	Module 01: Data Base 1	🕐 00:08:00
▶	Module 02: Data Base 2	🕐 00:09:00
▶	Module 03: Data Base 3	🕐 00:08:00
▶	Module 04: Data base 4	🕐 00:07:00
▶	Module 05: Data Base 5	🕐 00:06:00
Unit 17: Running Program from Command Prompt and jupyter Notebook			
▶	Module 01: IDE_1	🕐 00:05:00
▶	Module 02: IDE_2	🕐 00:07:00
Unit 18: Conclusion			
▶	Module 01: Conclusion	🕐 00:02:00
Resources			
	Resources - Basic Python Programming	🕐 00:00:00

Take this tremendous opportunity to transform yourself into highly skilled and recognised python experts by enrolling on our

Python Programming - For Non Programmers

<strong>Learn Python 3 programming fast!</strong>
        <p>In this course, you'll learn the Python 3 programming language from an absolute beginner level all the way to advanced-in no time at all!

This course is aimed at absolute beginners; you don't need any coding experience at all!
We'll start out by setting downloading and installing Python and the Sublime Text Editor-both for free. This will give you all the tools you need to start writing and running Python code.

Then, we'll delve into fundamental computer science concepts, such as:
&bull;	Printing to the screen
&bull;	String Manipulation
&bull;	Variables
&bull;	Data types (lists, tuples, dictionaries and more)
&bull;	Simple math
&bull;	Comparison operators
&bull;	Assignment operators

After that, we move on to more intermediate topics such as:
&bull;	Conditional if/else statements
&bull;	While loops
&bull;	For loops
&bull;	Fizzbuzz

Finally, we finish up with more advanced topics such as:
&bull;	Functions
&bull;	Modules
&bull;	Classes

Python is one of the greatest programming languages and learning it has never been this easy!

All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Python-Programming-For-Everyone</p>
        <h2>What You Will Learn</h2><p>Make professional drawings in AutoCAD<br>2D practice drawings<br>3D practice drawings<br>Make a floor plan from a blank drawing</p>
        <h2>Audience</h2><p>This course targets absolute beginners who want to learn the Python programming language.</p>
        <h2>Approach</h2><p>This friendly course is packed with step-by-step instructions, working examples, and helpful advice.</p>
        <h2>Key Features</h2><p>Learn the Python 3 programming language from beginner to advanced * Dive into basic computer science concepts</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming-for-everyone</p>
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. Beginners Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro - Python 3 vs Python 2 - Which Should You Use?</p><p style='margin: 0'>Beginners Python: Intro - Python 3 vs Python 2 - Which Should You Use?</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python</p><p style='margin: 0'>Beginners Python: Installing Python</p></td></tr><tr><td style='padding: 15px;'><p>3. First Program - Hello World!</p><p style='margin: 0'>Beginners Python: First Program - Hello World!</p></td></tr><tr><td style='padding: 15px;'><p>4. Comments and Clearing the Screen</p><p style='margin: 0'>Beginners Python: Comments and Clearing the Screen</p></td></tr><tr><td style='padding: 15px;'><p>5. Variables</p><p style='margin: 0'>Beginners Python: Variables</p></td></tr><tr><td style='padding: 15px;'><p>6. Intro to Data Types</p><p style='margin: 0'>Beginners Python: Intro to Data Types</p></td></tr><tr><td style='padding: 15px;'><p>7. Strings</p><p style='margin: 0'>Beginners Python: Strings</p></td></tr><tr><td style='padding: 15px;'><p>8. String Manipulation</p><p style='margin: 0'>Beginners Python: String Manipulation</p></td></tr><tr><td style='padding: 15px;'><p>9. Math with Python</p><p style='margin: 0'>Beginners Python: Math with Python</p></td></tr><tr><td style='padding: 15px;'><p>10. Floats and Ints</p><p style='margin: 0'>Beginners Python: Floats and Ints</p></td></tr><tr><td style='padding: 15px;'><p>11. Assignment Operators</p><p style='margin: 0'>Beginners Python: Assignment Operators</p></td></tr><tr><td style='padding: 15px;'><p>12. Lists</p><p style='margin: 0'>Beginners Python: Lists</p></td></tr><tr><td style='padding: 15px;'><p>13. Tuples</p><p style='margin: 0'>Beginners Python: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>14. Dictionaries</p><p style='margin: 0'>Beginners Python: Dictionaries</p></td></tr></tbody></table><br><h4>2. Intermediate Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Comparison Operators</p><p style='margin: 0'>Intermediate Python: Comparison Operators</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Statements</p><p style='margin: 0'>Intermediate Python: Conditional Statements</p></td></tr><tr><td style='padding: 15px;'><p>3. Multiple Conditional Statements</p><p style='margin: 0'>Intermediate Python: Multiple Conditional Statements</p></td></tr><tr><td style='padding: 15px;'><p>4. While Loops</p><p style='margin: 0'>Intermediate Python: While Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. For Loops</p><p style='margin: 0'>Intermediate Python: For Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Let's Build FizzBuzz!</p><p style='margin: 0'>Intermediate Python: Let's Build FizzBuzz!</p></td></tr></tbody></table><br><h4>3. Advanced Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Functions</p><p style='margin: 0'>Advanced Python: Functions</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions Part 2</p><p style='margin: 0'>Advanced Python: Functions Part 2</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules</p><p style='margin: 0'>Advanced Python: Modules</p></td></tr><tr><td style='padding: 15px;'><p>4. Intro to Classes</p><p style='margin: 0'>Advanced Python: Intro to Classes</p></td></tr><tr><td style='padding: 15px;'><p>5. Classes Part 1</p><p style='margin: 0'>Advanced Python: Classes Part 1</p></td></tr><tr><td style='padding: 15px;'><p>6. Classes Part 2</p><p style='margin: 0'>Advanced Python: Classes Part 2</p></td></tr><tr><td style='padding: 15px;'><p>7. Classes Part 3</p><p style='margin: 0'>Advanced Python: Classes Part 3</p></td></tr><tr><td style='padding: 15px;'><p>8. Course conclusion</p><p style='margin: 0'>Advanced Python: Course conclusion</p></td></tr></tbody></table>

Learn Python 3 programming fast!
In this course, you'll learn the Python 3 programming language from an absolute beginner level all the way to advanced-in no time at all! This course is aimed at absolute beginners; you don't need any coding experience at all!
We'll start out by setting downloading and installing Python and the Sublime Text Editor-both for free. This will give you all the tools you need to start writing and running Python code. Then, we'll delve into fundamental computer science concepts, such as:
•	Printing to the screen
•	String Manipulation
•	Variables
•	Data types (lists, tuples, dictionaries and more)
•	Simple math
•	Comparison operators
•	Assignment operators After that, we move on to more intermediate topics such as:
•	Conditional if/else statements
•	While loops
•	For loops
•	Fizzbuzz Finally, we finish up with more advanced topics such as:
•	Functions
•	Modules
•	Classes Python is one of the greatest programming languages and learning it has never been this easy! All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Python-Programming-For-Everyone
What You Will Learn
Make professional drawings in AutoCAD
2D practice drawings
3D practice drawings
Make a floor plan from a blank drawing
Audience
This course targets absolute beginners who want to learn the Python programming language.
Approach
This friendly course is packed with step-by-step instructions, working examples, and helpful advice.
Key Features
Learn the Python 3 programming language from beginner to advanced * Dive into basic computer science concepts
Github Repo
https://github.com/packtpublishing/python-programming-for-everyone
About the Author
John Elder
John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries. John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.
Course Outline
1. Beginners Python

1. Intro - Python 3 vs Python 2 - Which Should You Use?
Beginners Python: Intro - Python 3 vs Python 2 - Which Should You Use?
2. Installing Python
Beginners Python: Installing Python
3. First Program - Hello World!
Beginners Python: First Program - Hello World!
4. Comments and Clearing the Screen
Beginners Python: Comments and Clearing the Screen
5. Variables
Beginners Python: Variables
6. Intro to Data Types
Beginners Python: Intro to Data Types
7. Strings
Beginners Python: Strings
8. String Manipulation
Beginners Python: String Manipulation
9. Math with Python
Beginners Python: Math with Python
10. Floats and Ints
Beginners Python: Floats and Ints
11. Assignment Operators
Beginners Python: Assignment Operators
12. Lists
Beginners Python: Lists
13. Tuples
Beginners Python: Tuples
14. Dictionaries
Beginners Python: Dictionaries
2. Intermediate Python

1. Comparison Operators
Intermediate Python: Comparison Operators
2. Conditional Statements
Intermediate Python: Conditional Statements
3. Multiple Conditional Statements
Intermediate Python: Multiple Conditional Statements
4. While Loops
Intermediate Python: While Loops
5. For Loops
Intermediate Python: For Loops
6. Let's Build FizzBuzz!
Intermediate Python: Let's Build FizzBuzz!
3. Advanced Python

1. Functions
Advanced Python: Functions
2. Functions Part 2
Advanced Python: Functions Part 2
3. Modules
Advanced Python: Modules
4. Intro to Classes
Advanced Python: Intro to Classes
5. Classes Part 1
Advanced Python: Classes Part 1
6. Classes Part 2
Advanced Python: Classes Part 2
7. Classes Part 3
Advanced Python: Classes Part 3
8. Course conclusion
Advanced Python: Course conclusion

Packt

Python

Programming

Python Programming For Everyone

<strong>This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.</strong>
        <p>With Python, you can build applications, such as Google, Instagram, Spotify, and Reddit. But to make such applications, you should have a strong knowledge of the fundamentals of Python. This course will be your step-by-step guide to master the fundamentals of Python programming.

The course starts by walking you through the process of setting up a Python development environment. Next, you will get an overview of the versions and history of Python programming and write a simple 'Hello World' program to understand the structure of Python code. Moving along, you will get a detailed understanding of Python variables, datatypes, built-in functions, conditional statements, and loops. Next, you will learn how to work with lists, tuples, sets, dictionaries, strings, functions, modules, and packages in Python. Later, you will learn to debug your Python program, work with files, and learn how to handle exceptions. Next, you will learn how to use numbers and date and time functions in Python programs and study the concepts of package management. Finally, you will learn to create, activate, and deactivate Python virtual environments and get an overview of comprehensions and decorators.

By the end of this course, you will have gained the knowledge and skills of all the basic concepts of Python programming and will be ready to take up advanced Python concepts.

The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-</p>
        <h2>What You Will Learn</h2><p>Explore Python datatypes variables and functions<br>Find out how to create and work with modules and packages<br>Read and write a CSV and binary file<br>Grasp techniques to handle exceptions<br>Find out how to debug Python programs<br>Create, activate, and deactivate Python virtual environments</p>
        <h2>Audience</h2><p>This course is designed for anyone who is interested in learning the basics of Python programming. There are no prerequisites to take this course as you will learn everything from scratch.</p>
        <h2>Approach</h2><p>Featuring labs, exercises, and interesting projects, this course takes you through the fundamental concepts of Python programming from scratch.</p>
        <h2>Key Features</h2><p>Gain a solid understanding of the fundamentals of Python 3 * Become comfortable in using Python datatypes, functions, packages, and modules * Apply your learning to write and run simple Python scripts from the Linux terminal</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-</p>
        <h2>About the Author</h2><h3>Coding Gears | Train Your Brain</h3><p>GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn.

They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas.

CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.</p>
        <h2>Course Outline</h2><h4>1. Welcome</h4><p></p><br><h4>2. Setting up the Python Development Environment</h4><p></p><br><h4>3. Python - Absolute Basics</h4><p></p><br><h4>4. Variables, Data Types, and Built-in Functions</h4><p></p><br><h4>5. Conditional Statements and Loops</h4><p></p><br><h4>6. Working with Lists</h4><p></p><br><h4>7. Working with Tuples</h4><p></p><br><h4>8. Working with Sets</h4><p></p><br><h4>9. Working with Dictionaries</h4><p></p><br><h4>10. Working with Strings</h4><p></p><br><h4>11. Functions</h4><p></p><br><h4>12. Modules and Packages</h4><p></p><br><h4>13. Debugging</h4><p></p><br><h4>14. Working with Files (Files Input/Output)</h4><p></p><br><h4>15. Handling Exceptions</h4><p></p><br><h4>16. Working with Numbers</h4><p></p><br><h4>17. Working with Dates and Times</h4><p></p><br><h4>18. Package Management</h4><p></p><br><h4>19. Python Virtual Environments</h4><p></p><br><h4>20. Comprehensions</h4><p></p><br><h4>21. Decorators</h4><p></p><br><h4>22. Generators</h4><p></p><br><h4>23. Miscellaneous and Additional Resources</h4><p></p>

This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.
With Python, you can build applications, such as Google, Instagram, Spotify, and Reddit. But to make such applications, you should have a strong knowledge of the fundamentals of Python. This course will be your step-by-step guide to master the fundamentals of Python programming. The course starts by walking you through the process of setting up a Python development environment. Next, you will get an overview of the versions and history of Python programming and write a simple 'Hello World' program to understand the structure of Python code. Moving along, you will get a detailed understanding of Python variables, datatypes, built-in functions, conditional statements, and loops. Next, you will learn how to work with lists, tuples, sets, dictionaries, strings, functions, modules, and packages in Python. Later, you will learn to debug your Python program, work with files, and learn how to handle exceptions. Next, you will learn how to use numbers and date and time functions in Python programs and study the concepts of package management. Finally, you will learn to create, activate, and deactivate Python virtual environments and get an overview of comprehensions and decorators. By the end of this course, you will have gained the knowledge and skills of all the basic concepts of Python programming and will be ready to take up advanced Python concepts. The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-
What You Will Learn
Explore Python datatypes variables and functions
Find out how to create and work with modules and packages
Read and write a CSV and binary file
Grasp techniques to handle exceptions
Find out how to debug Python programs
Create, activate, and deactivate Python virtual environments
Audience
This course is designed for anyone who is interested in learning the basics of Python programming. There are no prerequisites to take this course as you will learn everything from scratch.
Approach
Featuring labs, exercises, and interesting projects, this course takes you through the fundamental concepts of Python programming from scratch.
Key Features
Gain a solid understanding of the fundamentals of Python 3 * Become comfortable in using Python datatypes, functions, packages, and modules * Apply your learning to write and run simple Python scripts from the Linux terminal
Github Repo
https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-
About the Author
Coding Gears | Train Your Brain
GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn. They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas. CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.
Course Outline
1. Welcome

2. Setting up the Python Development Environment

3. Python - Absolute Basics

4. Variables, Data Types, and Built-in Functions

5. Conditional Statements and Loops

6. Working with Lists

7. Working with Tuples

8. Working with Sets

9. Working with Dictionaries

10. Working with Strings

11. Functions

12. Modules and Packages

13. Debugging

14. Working with Files (Files Input/Output)

15. Handling Exceptions

16. Working with Numbers

17. Working with Dates and Times

18. Package Management

19. Python Virtual Environments

20. Comprehensions

21. Decorators

22. Generators

23. Miscellaneous and Additional Resources


Linux

Debugging

This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.

Python Programming for Beginners: Hands-on (Online Lab)

<strong>Learn Flask, the simple yet powerful Python web framework. This course is a ridiculously simple way to learn Flask in less than a weekend.</strong>
        <p>This course will teach you how to build Flask apps using only Flask and two essential extensions. You don't have to worry about managing multiple extensions on your machine or about incompatible database systems. By learning without using extra extensions other than Flask-SQLAlchemy and Flask-Login, you'll have a better understanding of how things work; thus, when you actually use extensions, you'll get much more out of them. 
Why Flask? Even though Flask is simple, you can create any web app you can imagine using it. Flask is not only easy to learn, it's also virtually guaranteed to work on your machine. If you've ever tried installing a large library only to find it doesn't work on your computer, you'll be delighted to find that Flask, with its few dependencies and small footprint, will work on your computer.  
You'll start by learning the basics of Flask. You'll learn enough to understand the fundamentals of Flask, how to use templates, and how to connect and use an SQLite database with Flask-SQLAlchemy. Once you decide to change databases, you'll simply update the configuration because you used Flask-SQLAlchemy. And, since the best way to learn is by example, we'll build two demo applications that use only what you learned in the preceding sections. This course covers using Flask 1.0 along with Flask-SQLAlchemy 2.3 and Flask-Login 0.4. Python 3.6+ is required, but no advanced features are used so you may be able to use an older version of Python.</p>
        <h2>What You Will Learn</h2><p>Explore the advanced networking concepts, build WANs, and work with IPV6<br>Learn EIGRP troubleshooting, GNS3 labs, and simulations<br>Practice DCE DTE physical router demos<br>NAT configuration and testing, IPV6<br>Discover OSPF anConfigure VPN and Dynamic Multipoint VPN (DMVPN)<br>Master GRE tunnel configuration and the WAN technologyd BGP</p>
        <h2>Audience</h2><p>This course is for anyone who has mastered the Python fundamentals and is keen to learn how to build web frameworks in Flask. Since Flask is a microframework, beginners can easily learn and use the framework. All you need to know before starting the course is the Python basics. If you're already comfortable working with features such as loops and dicts in Python, you are ready for this course.   </p>
        <h2>Approach</h2><p>The course starts by covering the basics of the Flask framework. You will learn basic request and response handling in Flask, and then how to create templates in Flask using the Jinja library. Finally, you will learn how to interact with a SQL database using Flask-SQLAlchemy. Once all the basics have been covered, we walk you through creating three app examples that use the basics of Flask and more.</p>
        <h2>Key Features</h2><p>These videos last hours and explain all the fundamentals of the Flask web framework. They cover both how to use Flask and examples of apps built with Flask. * Explanations targeted at beginners. We don't assume you know anything about Flask, so we explain all the code you write. We don't just show you how we also explain why.</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/flask-for-beginners</p>
        <h2>About the Author</h2><h3>Anthony Herbert</h3><p>Anthony Herbert is the founder of Pretty Printed. He has been programming since 2004, but a number of those years were spent with a lack of understanding of concepts. To help others avoid the issues he had while learning to program, he created Pretty Printed so that programmers of all skill levels can understand programming concepts easier and faster.</p>
        <h2>Course Outline</h2><h4>1. Course Intro</h4><p>Here, we begin with course introduction.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartIntro</p><p style='margin: 0'>Course Intro: StartIntro</p></td></tr><tr><td style='padding: 15px;'><p>2. StartWhich Version of Python</p><p style='margin: 0'>Course Intro: StartWhich Version of Python</p></td></tr><tr><td style='padding: 15px;'><p>3. StartNote About Pipenv</p><p style='margin: 0'>Course Intro: StartNote About Pipenv</p></td></tr><tr><td style='padding: 15px;'><p>4. StartDownload the Source Code</p><p style='margin: 0'>Course Intro: StartDownload the Source Code</p></td></tr></tbody></table><br><h4>2. Flask Basics</h4><p>In this section, we begin with Flask basics with installation and configuration.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartInstall Flask</p><p style='margin: 0'>Flask Basics: StartInstall Flask</p></td></tr><tr><td style='padding: 15px;'><p>2. StartRouting</p><p style='margin: 0'>Flask Basics: StartRouting</p></td></tr><tr><td style='padding: 15px;'><p>3. StartRequest Methods</p><p style='margin: 0'>Flask Basics: StartRequest Methods</p></td></tr><tr><td style='padding: 15px;'><p>4. StartRoute Variables</p><p style='margin: 0'>Flask Basics: StartRoute Variables</p></td></tr><tr><td style='padding: 15px;'><p>5. StartQuery String Arguments</p><p style='margin: 0'>Flask Basics: StartQuery String Arguments</p></td></tr><tr><td style='padding: 15px;'><p>6. StartForm Data</p><p style='margin: 0'>Flask Basics: StartForm Data</p></td></tr><tr><td style='padding: 15px;'><p>7. PreviewJSON Data</p><p style='margin: 0'>Flask Basics: PreviewJSON Data</p></td></tr><tr><td style='padding: 15px;'><p>8. StartRedirect and url_for</p><p style='margin: 0'>Flask Basics: StartRedirect and url_for</p></td></tr><tr><td style='padding: 15px;'><p>9. StartDebug</p><p style='margin: 0'>Flask Basics: StartDebug</p></td></tr></tbody></table><br><h4>3. Templates</h4><p>Here, we look into templates and various conditionals.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Startintro to Templates</p><p style='margin: 0'>Templates: Startintro to Templates</p></td></tr><tr><td style='padding: 15px;'><p>2. StartTemplate Variables</p><p style='margin: 0'>Templates: StartTemplate Variables</p></td></tr><tr><td style='padding: 15px;'><p>3. StartConditionals</p><p style='margin: 0'>Templates: StartConditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. StartLoops</p><p style='margin: 0'>Templates: StartLoops</p></td></tr><tr><td style='padding: 15px;'><p>5. PreviewInclude</p><p style='margin: 0'>Templates: PreviewInclude</p></td></tr><tr><td style='padding: 15px;'><p>6. StartInheritance</p><p style='margin: 0'>Templates: StartInheritance</p></td></tr><tr><td style='padding: 15px;'><p>7. StartComments</p><p style='margin: 0'>Templates: StartComments</p></td></tr><tr><td style='padding: 15px;'><p>8. StartStatic Files</p><p style='margin: 0'>Templates: StartStatic Files</p></td></tr></tbody></table><br><h4>4. Flask-SQLAlchemy</h4><p>In this section, we start by discovering SQLAlchemy.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartIntro and Install</p><p style='margin: 0'>Flask-SQLAlchemy: StartIntro and Install</p></td></tr><tr><td style='padding: 15px;'><p>2. StartDetermine the URI</p><p style='margin: 0'>Flask-SQLAlchemy: StartDetermine the URI</p></td></tr><tr><td style='padding: 15px;'><p>3. StartConfigure and Create the Database</p><p style='margin: 0'>Flask-SQLAlchemy: StartConfigure and Create the Database</p></td></tr><tr><td style='padding: 15px;'><p>4. StartCreate Table</p><p style='margin: 0'>Flask-SQLAlchemy: StartCreate Table</p></td></tr><tr><td style='padding: 15px;'><p>5. StartInsert Data</p><p style='margin: 0'>Flask-SQLAlchemy: StartInsert Data</p></td></tr><tr><td style='padding: 15px;'><p>6. PreviewUpdate Data</p><p style='margin: 0'>Flask-SQLAlchemy: PreviewUpdate Data</p></td></tr><tr><td style='padding: 15px;'><p>7. StartDelete Data</p><p style='margin: 0'>Flask-SQLAlchemy: StartDelete Data</p></td></tr><tr><td style='padding: 15px;'><p>8. StartCreate One to Many Relationships</p><p style='margin: 0'>Flask-SQLAlchemy: StartCreate One to Many Relationships</p></td></tr><tr><td style='padding: 15px;'><p>9. StartAdd Data to One to Many Relationships</p><p style='margin: 0'>Flask-SQLAlchemy: StartAdd Data to One to Many Relationships</p></td></tr><tr><td style='padding: 15px;'><p>10. StartQuery One to Many Relationships</p><p style='margin: 0'>Flask-SQLAlchemy: StartQuery One to Many Relationships</p></td></tr><tr><td style='padding: 15px;'><p>11. StartCreate Many to Many</p><p style='margin: 0'>Flask-SQLAlchemy: StartCreate Many to Many</p></td></tr><tr><td style='padding: 15px;'><p>12. StartAdd Data to Many to Many</p><p style='margin: 0'>Flask-SQLAlchemy: StartAdd Data to Many to Many</p></td></tr><tr><td style='padding: 15px;'><p>13. StartQuery Many to Many</p><p style='margin: 0'>Flask-SQLAlchemy: StartQuery Many to Many</p></td></tr><tr><td style='padding: 15px;'><p>14. StartGet All Data</p><p style='margin: 0'>Flask-SQLAlchemy: StartGet All Data</p></td></tr></tbody></table><br><h4>5. Structuring Flask Apps</h4><p>Here, we structure Flask Apps.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. PreviewApp Factories</p><p style='margin: 0'>Structuring Flask Apps: PreviewApp Factories</p></td></tr><tr><td style='padding: 15px;'><p>2. StartBlueprints</p><p style='margin: 0'>Structuring Flask Apps: StartBlueprints</p></td></tr><tr><td style='padding: 15px;'><p>3. StartOrganizing Projects Beyond a Single File</p><p style='margin: 0'>Structuring Flask Apps: StartOrganizing Projects Beyond a Single File</p></td></tr></tbody></table><br><h4>6. Registration App</h4><p>In this section, we create registration app.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartApp Overview</p><p style='margin: 0'>Registration App: StartApp Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. StartSetup Project and Display Template</p><p style='margin: 0'>Registration App: StartSetup Project and Display Template</p></td></tr><tr><td style='padding: 15px;'><p>3. StartSetting Up the Models</p><p style='margin: 0'>Registration App: StartSetting Up the Models</p></td></tr><tr><td style='padding: 15px;'><p>4. StartSetup Database</p><p style='margin: 0'>Registration App: StartSetup Database</p></td></tr><tr><td style='padding: 15px;'><p>5. StartSeed Topic and Language Data</p><p style='margin: 0'>Registration App: StartSeed Topic and Language Data</p></td></tr><tr><td style='padding: 15px;'><p>6. StartSetup Password Hash</p><p style='margin: 0'>Registration App: StartSetup Password Hash</p></td></tr><tr><td style='padding: 15px;'><p>7. StartVerify Form Data is Being Submitted</p><p style='margin: 0'>Registration App: StartVerify Form Data is Being Submitted</p></td></tr><tr><td style='padding: 15px;'><p>8. StartLoad Languages and Topics</p><p style='margin: 0'>Registration App: StartLoad Languages and Topics</p></td></tr><tr><td style='padding: 15px;'><p>9. StartSave Data from Form</p><p style='margin: 0'>Registration App: StartSave Data from Form</p></td></tr><tr><td style='padding: 15px;'><p>10. StartLoad Existing Data</p><p style='margin: 0'>Registration App: StartLoad Existing Data</p></td></tr><tr><td style='padding: 15px;'><p>11. StartUpdate Database with New Data</p><p style='margin: 0'>Registration App: StartUpdate Database with New Data</p></td></tr><tr><td style='padding: 15px;'><p>12. StartError Handling</p><p style='margin: 0'>Registration App: StartError Handling</p></td></tr></tbody></table><br><h4>7. Registration API</h4><p>In this section, we work with registration API.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartPOSTMan</p><p style='margin: 0'>Registration API: StartPOSTMan</p></td></tr><tr><td style='padding: 15px;'><p>2. StartOrganize Files</p><p style='margin: 0'>Registration API: StartOrganize Files</p></td></tr><tr><td style='padding: 15px;'><p>3. StartAdd JSON to Method</p><p style='margin: 0'>Registration API: StartAdd JSON to Method</p></td></tr><tr><td style='padding: 15px;'><p>4. StartGet Members Route</p><p style='margin: 0'>Registration API: StartGet Members Route</p></td></tr><tr><td style='padding: 15px;'><p>5. StartGet One Member</p><p style='margin: 0'>Registration API: StartGet One Member</p></td></tr><tr><td style='padding: 15px;'><p>6. StartCreate Member</p><p style='margin: 0'>Registration API: StartCreate Member</p></td></tr><tr><td style='padding: 15px;'><p>7. StartEdit Member</p><p style='margin: 0'>Registration API: StartEdit Member</p></td></tr></tbody></table><br><h4>8. Dashboard App</h4><p>In this section, we create the DashBoard app.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartApp Overview</p><p style='margin: 0'>Dashboard App: StartApp Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. StartOverview of Templates</p><p style='margin: 0'>Dashboard App: StartOverview of Templates</p></td></tr><tr><td style='padding: 15px;'><p>3. StartSetup Flask App and Template</p><p style='margin: 0'>Dashboard App: StartSetup Flask App and Template</p></td></tr><tr><td style='padding: 15px;'><p>4. StartCreate Models for Dashboard</p><p style='margin: 0'>Dashboard App: StartCreate Models for Dashboard</p></td></tr><tr><td style='padding: 15px;'><p>5. StartCommand to Create Tables</p><p style='margin: 0'>Dashboard App: StartCommand to Create Tables</p></td></tr><tr><td style='padding: 15px;'><p>6. StartAdd Data into Database</p><p style='margin: 0'>Dashboard App: StartAdd Data into Database</p></td></tr><tr><td style='padding: 15px;'><p>7. StartOverview of Queries We Need</p><p style='margin: 0'>Dashboard App: StartOverview of Queries We Need</p></td></tr><tr><td style='padding: 15px;'><p>8. StartWriting the Queries</p><p style='margin: 0'>Dashboard App: StartWriting the Queries</p></td></tr><tr><td style='padding: 15px;'><p>9. StartWriting the Queries</p><p style='margin: 0'>Dashboard App: StartWriting the Queries</p></td></tr><tr><td style='padding: 15px;'><p>10. StartWriting the Queries</p><p style='margin: 0'>Dashboard App: StartWriting the Queries</p></td></tr><tr><td style='padding: 15px;'><p>11. StartWriting the Queries</p><p style='margin: 0'>Dashboard App: StartWriting the Queries</p></td></tr><tr><td style='padding: 15px;'><p>12. StartAdd the Card Values</p><p style='margin: 0'>Dashboard App: StartAdd the Card Values</p></td></tr><tr><td style='padding: 15px;'><p>13. StartAdd the Revenue Goals</p><p style='margin: 0'>Dashboard App: StartAdd the Revenue Goals</p></td></tr><tr><td style='padding: 15px;'><p>14. StartWork with the Area Chart</p><p style='margin: 0'>Dashboard App: StartWork with the Area Chart</p></td></tr><tr><td style='padding: 15px;'><p>15. StartWork with the Pie Chart</p><p style='margin: 0'>Dashboard App: StartWork with the Pie Chart</p></td></tr><tr><td style='padding: 15px;'><p>16. StartWork with Bar Chart</p><p style='margin: 0'>Dashboard App: StartWork with Bar Chart</p></td></tr><tr><td style='padding: 15px;'><p>17. StartFill in Order Table</p><p style='margin: 0'>Dashboard App: StartFill in Order Table</p></td></tr><tr><td style='padding: 15px;'><p>18. StartSetup Flask Login</p><p style='margin: 0'>Dashboard App: StartSetup Flask Login</p></td></tr><tr><td style='padding: 15px;'><p>19. StartProtecting the Routes</p><p style='margin: 0'>Dashboard App: StartProtecting the Routes</p></td></tr><tr><td style='padding: 15px;'><p>20. StartRegister a User</p><p style='margin: 0'>Dashboard App: StartRegister a User</p></td></tr><tr><td style='padding: 15px;'><p>21. StartLog In User</p><p style='margin: 0'>Dashboard App: StartLog In User</p></td></tr><tr><td style='padding: 15px;'><p>22. StartAdd Password Hashing</p><p style='margin: 0'>Dashboard App: StartAdd Password Hashing</p></td></tr><tr><td style='padding: 15px;'><p>23. StartLogout User</p><p style='margin: 0'>Dashboard App: StartLogout User</p></td></tr><tr><td style='padding: 15px;'><p>24. StartUpdate Links</p><p style='margin: 0'>Dashboard App: StartUpdate Links</p></td></tr><tr><td style='padding: 15px;'><p>25. StartAdd Current User Name</p><p style='margin: 0'>Dashboard App: StartAdd Current User Name</p></td></tr><tr><td style='padding: 15px;'><p>26. StartAdd Remember Me</p><p style='margin: 0'>Dashboard App: StartAdd Remember Me</p></td></tr><tr><td style='padding: 15px;'><p>27. StartFormat Numbers and Dates</p><p style='margin: 0'>Dashboard App: StartFormat Numbers and Dates</p></td></tr><tr><td style='padding: 15px;'><p>28. StartFix Pie Chart Colors</p><p style='margin: 0'>Dashboard App: StartFix Pie Chart Colors</p></td></tr><tr><td style='padding: 15px;'><p>29. StartForm Validation</p><p style='margin: 0'>Dashboard App: StartForm Validation</p></td></tr></tbody></table><br><h4>9. Course Outro</h4><p>Here, we summarize the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Outro</p><p style='margin: 0'>Course Outro: Outro</p></td></tr></tbody></table>

Learn Flask, the simple yet powerful Python web framework. This course is a ridiculously simple way to learn Flask in less than a weekend.
This course will teach you how to build Flask apps using only Flask and two essential extensions. You don't have to worry about managing multiple extensions on your machine or about incompatible database systems. By learning without using extra extensions other than Flask-SQLAlchemy and Flask-Login, you'll have a better understanding of how things work; thus, when you actually use extensions, you'll get much more out of them. Why Flask? Even though Flask is simple, you can create any web app you can imagine using it. Flask is not only easy to learn, it's also virtually guaranteed to work on your machine. If you've ever tried installing a large library only to find it doesn't work on your computer, you'll be delighted to find that Flask, with its few dependencies and small footprint, will work on your computer. You'll start by learning the basics of Flask. You'll learn enough to understand the fundamentals of Flask, how to use templates, and how to connect and use an SQLite database with Flask-SQLAlchemy. Once you decide to change databases, you'll simply update the configuration because you used Flask-SQLAlchemy. And, since the best way to learn is by example, we'll build two demo applications that use only what you learned in the preceding sections. This course covers using Flask 1.0 along with Flask-SQLAlchemy 2.3 and Flask-Login 0.4. Python 3.6+ is required, but no advanced features are used so you may be able to use an older version of Python.
What You Will Learn
Explore the advanced networking concepts, build WANs, and work with IPV6
Learn EIGRP troubleshooting, GNS3 labs, and simulations
Practice DCE DTE physical router demos
NAT configuration and testing, IPV6
Discover OSPF anConfigure VPN and Dynamic Multipoint VPN (DMVPN)
Master GRE tunnel configuration and the WAN technologyd BGP
Audience
This course is for anyone who has mastered the Python fundamentals and is keen to learn how to build web frameworks in Flask. Since Flask is a microframework, beginners can easily learn and use the framework. All you need to know before starting the course is the Python basics. If you're already comfortable working with features such as loops and dicts in Python, you are ready for this course. 
Approach
The course starts by covering the basics of the Flask framework. You will learn basic request and response handling in Flask, and then how to create templates in Flask using the Jinja library. Finally, you will learn how to interact with a SQL database using Flask-SQLAlchemy. Once all the basics have been covered, we walk you through creating three app examples that use the basics of Flask and more.
Key Features
These videos last hours and explain all the fundamentals of the Flask web framework. They cover both how to use Flask and examples of apps built with Flask. * Explanations targeted at beginners. We don't assume you know anything about Flask, so we explain all the code you write. We don't just show you how we also explain why.
Github Repo
https://github.com/packtpublishing/flask-for-beginners
About the Author
Anthony Herbert
Anthony Herbert is the founder of Pretty Printed. He has been programming since 2004, but a number of those years were spent with a lack of understanding of concepts. To help others avoid the issues he had while learning to program, he created Pretty Printed so that programmers of all skill levels can understand programming concepts easier and faster.
Course Outline
1. Course Intro
Here, we begin with course introduction.
1. StartIntro
Course Intro: StartIntro
2. StartWhich Version of Python
Course Intro: StartWhich Version of Python
3. StartNote About Pipenv
Course Intro: StartNote About Pipenv
4. StartDownload the Source Code
Course Intro: StartDownload the Source Code
2. Flask Basics
In this section, we begin with Flask basics with installation and configuration.
1. StartInstall Flask
Flask Basics: StartInstall Flask
2. StartRouting
Flask Basics: StartRouting
3. StartRequest Methods
Flask Basics: StartRequest Methods
4. StartRoute Variables
Flask Basics: StartRoute Variables
5. StartQuery String Arguments
Flask Basics: StartQuery String Arguments
6. StartForm Data
Flask Basics: StartForm Data
7. PreviewJSON Data
Flask Basics: PreviewJSON Data
8. StartRedirect and url_for
Flask Basics: StartRedirect and url_for
9. StartDebug
Flask Basics: StartDebug
3. Templates
Here, we look into templates and various conditionals.
1. Startintro to Templates
Templates: Startintro to Templates
2. StartTemplate Variables
Templates: StartTemplate Variables
3. StartConditionals
Templates: StartConditionals
4. StartLoops
Templates: StartLoops
5. PreviewInclude
Templates: PreviewInclude
6. StartInheritance
Templates: StartInheritance
7. StartComments
Templates: StartComments
8. StartStatic Files
Templates: StartStatic Files
4. Flask-SQLAlchemy
In this section, we start by discovering SQLAlchemy.
1. StartIntro and Install
Flask-SQLAlchemy: StartIntro and Install
2. StartDetermine the URI
Flask-SQLAlchemy: StartDetermine the URI
3. StartConfigure and Create the Database
Flask-SQLAlchemy: StartConfigure and Create the Database
4. StartCreate Table
Flask-SQLAlchemy: StartCreate Table
5. StartInsert Data
Flask-SQLAlchemy: StartInsert Data
6. PreviewUpdate Data
Flask-SQLAlchemy: PreviewUpdate Data
7. StartDelete Data
Flask-SQLAlchemy: StartDelete Data
8. StartCreate One to Many Relationships
Flask-SQLAlchemy: StartCreate One to Many Relationships
9. StartAdd Data to One to Many Relationships
Flask-SQLAlchemy: StartAdd Data to One to Many Relationships
10. StartQuery One to Many Relationships
Flask-SQLAlchemy: StartQuery One to Many Relationships
11. StartCreate Many to Many
Flask-SQLAlchemy: StartCreate Many to Many
12. StartAdd Data to Many to Many
Flask-SQLAlchemy: StartAdd Data to Many to Many
13. StartQuery Many to Many
Flask-SQLAlchemy: StartQuery Many to Many
14. StartGet All Data
Flask-SQLAlchemy: StartGet All Data
5. Structuring Flask Apps
Here, we structure Flask Apps.
1. PreviewApp Factories
Structuring Flask Apps: PreviewApp Factories
2. StartBlueprints
Structuring Flask Apps: StartBlueprints
3. StartOrganizing Projects Beyond a Single File
Structuring Flask Apps: StartOrganizing Projects Beyond a Single File
6. Registration App
In this section, we create registration app.
1. StartApp Overview
Registration App: StartApp Overview
2. StartSetup Project and Display Template
Registration App: StartSetup Project and Display Template
3. StartSetting Up the Models
Registration App: StartSetting Up the Models
4. StartSetup Database
Registration App: StartSetup Database
5. StartSeed Topic and Language Data
Registration App: StartSeed Topic and Language Data
6. StartSetup Password Hash
Registration App: StartSetup Password Hash
7. StartVerify Form Data is Being Submitted
Registration App: StartVerify Form Data is Being Submitted
8. StartLoad Languages and Topics
Registration App: StartLoad Languages and Topics
9. StartSave Data from Form
Registration App: StartSave Data from Form
10. StartLoad Existing Data
Registration App: StartLoad Existing Data
11. StartUpdate Database with New Data
Registration App: StartUpdate Database with New Data
12. StartError Handling
Registration App: StartError Handling
7. Registration API
In this section, we work with registration API.
1. StartPOSTMan
Registration API: StartPOSTMan
2. StartOrganize Files
Registration API: StartOrganize Files
3. StartAdd JSON to Method
Registration API: StartAdd JSON to Method
4. StartGet Members Route
Registration API: StartGet Members Route
5. StartGet One Member
Registration API: StartGet One Member
6. StartCreate Member
Registration API: StartCreate Member
7. StartEdit Member
Registration API: StartEdit Member
8. Dashboard App
In this section, we create the DashBoard app.
1. StartApp Overview
Dashboard App: StartApp Overview
2. StartOverview of Templates
Dashboard App: StartOverview of Templates
3. StartSetup Flask App and Template
Dashboard App: StartSetup Flask App and Template
4. StartCreate Models for Dashboard
Dashboard App: StartCreate Models for Dashboard
5. StartCommand to Create Tables
Dashboard App: StartCommand to Create Tables
6. StartAdd Data into Database
Dashboard App: StartAdd Data into Database
7. StartOverview of Queries We Need
Dashboard App: StartOverview of Queries We Need
8. StartWriting the Queries
Dashboard App: StartWriting the Queries
9. StartWriting the Queries
Dashboard App: StartWriting the Queries
10. StartWriting the Queries
Dashboard App: StartWriting the Queries
11. StartWriting the Queries
Dashboard App: StartWriting the Queries
12. StartAdd the Card Values
Dashboard App: StartAdd the Card Values
13. StartAdd the Revenue Goals
Dashboard App: StartAdd the Revenue Goals
14. StartWork with the Area Chart
Dashboard App: StartWork with the Area Chart
15. StartWork with the Pie Chart
Dashboard App: StartWork with the Pie Chart
16. StartWork with Bar Chart
Dashboard App: StartWork with Bar Chart
17. StartFill in Order Table
Dashboard App: StartFill in Order Table
18. StartSetup Flask Login
Dashboard App: StartSetup Flask Login
19. StartProtecting the Routes
Dashboard App: StartProtecting the Routes
20. StartRegister a User
Dashboard App: StartRegister a User
21. StartLog In User
Dashboard App: StartLog In User
22. StartAdd Password Hashing
Dashboard App: StartAdd Password Hashing
23. StartLogout User
Dashboard App: StartLogout User
24. StartUpdate Links
Dashboard App: StartUpdate Links
25. StartAdd Current User Name
Dashboard App: StartAdd Current User Name
26. StartAdd Remember Me
Dashboard App: StartAdd Remember Me
27. StartFormat Numbers and Dates
Dashboard App: StartFormat Numbers and Dates
28. StartFix Pie Chart Colors
Dashboard App: StartFix Pie Chart Colors
29. StartForm Validation
Dashboard App: StartForm Validation
9. Course Outro
Here, we summarize the course.
1. Outro
Course Outro: Outro

Learn Flask, the simple yet powerful Python web framework. This course is a ridiculously simple way to learn Flask in less than a weekend.

Flask for Beginners

<strong>Take your Python skills to the next level. Learn how expert programmers work with code and the techniques they use.</strong>
        <p>So you have taken an initial programming course or have learned the basics on your own. However, when you look at other people's code, or listen to their discussions, you see many concepts that seem alien and that you don't understand. So, the question is: How do you go from a novice programmer to an expert? How do you become a professional?

This course answers this question. In it, we will build on top of your existing basic understanding of the Python language (and programming in general). We will cover concepts that will take you to the next level of programming expertise. These will include language constructs that are typically not covered in a beginner-level course-concepts such as generators, decorators, callbacks, higher-order functions, context managers, and more.
We will also discuss some tools that are not difficult but are essential to the life of a professional programmer. An example of this is logging for tracking down bugs, a simple technique that is used in all production-level software but is never touched upon in typical programming courses. We will discuss parallel programming, multi-threading, and synchronization issues-another important concept you must understand to code in a production environment. We discuss these through a case study to explain WHY you need them as well as HOW to use them.
Closely related to this, a highly important concept in today's programming practice is the idea of asynchronous programming, more commonly known as asyncio. Python and JavaScript, two of the most influential languages in today's development, are heavily focused on this new paradigm and we will cover this in a very intuitive, easy-to-understand manner.

All the code files are placed at https://github.com/PacktPublishing/Beyond-Basic-Programming---Intermediate-Python</p>
        <h2>What You Will Learn</h2><p>&bull;&nbsp;&nbsp;Cross-cutting tools (logging and testing)<br>&bull;&nbsp;&nbsp;Caveats in using lists <br>&bull;&nbsp;&nbsp;Intermediate Python concepts such as decorators, generators, and context managers<br>&bull;&nbsp;&nbsp;Parallel programming, multithreading, synchronization, and locks <br>&bull;&nbsp;&nbsp;Asynchronous programming (asyncio) and data plotting <br>&bull;&nbsp;&nbsp;Regular expressions (and how to avoid headaches when using them)</p>
        <h2>Audience</h2><p>Anyone who has a basic understanding of Python but wants to take their skills to the next level; beginners who want to learn the tools and techniques used by expert professional programmers; anyone who wants to learn about cross-cutting tools and skills that are useful in many programming languages and to learn the latest programming concepts, such as context managers, asynchronous programming, and regular expressions in a modular way.</p>
        <h2>Approach</h2><p>For all concepts, this course is designed into a case-based teaching and Problem-based Learning approach and explains why we need the concepts we're using and how everything fits together.</p>
        <h2>Key Features</h2><p>&bull;&nbsp;&nbsp;Take your Python skill to the next level * &bull;&nbsp;&nbsp;Master cross-cutting tools (logging and testing) * &bull;&nbsp;&nbsp;Use asynchronous programming (asyncio) * &bull;&nbsp;&nbsp;Plot data * &bull;&nbsp;&nbsp;Modular Regular Expressions </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/beyond-basic-programming---intermediate-python</p>
        <h2>About the Author</h2><h3>Mohammad Nauman</h3><p>Dr. Mohammad Nauman has a PhD in computer science and a PostDoc from the Max Planck Institute for software systems. He has been programming since early 2000 and has worked with many different languages, tools, and platforms. He holds extensive research experience with many state-of-the-art models. His research in Android security has led to some major shifts in the Android permission model.

He loves teaching and the most important reason he teaches online is to make sure that maximum people can learn through his content. Hope you have fun learning with him!</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Cross-cutting Tools</h4><p></p><br><h4>3. Intermediate Programming Concepts</h4><p></p><br><h4>4. Time Saving Features</h4><p></p><br><h4>5. Parallel and Asynchronous Programming</h4><p></p><br><h4>6. Functional Programming</h4><p></p><br><h4>7. Applications</h4><p></p>

Take your Python skills to the next level. Learn how expert programmers work with code and the techniques they use.
So you have taken an initial programming course or have learned the basics on your own. However, when you look at other people's code, or listen to their discussions, you see many concepts that seem alien and that you don't understand. So, the question is: How do you go from a novice programmer to an expert? How do you become a professional? This course answers this question. In it, we will build on top of your existing basic understanding of the Python language (and programming in general). We will cover concepts that will take you to the next level of programming expertise. These will include language constructs that are typically not covered in a beginner-level course-concepts such as generators, decorators, callbacks, higher-order functions, context managers, and more.
We will also discuss some tools that are not difficult but are essential to the life of a professional programmer. An example of this is logging for tracking down bugs, a simple technique that is used in all production-level software but is never touched upon in typical programming courses. We will discuss parallel programming, multi-threading, and synchronization issues-another important concept you must understand to code in a production environment. We discuss these through a case study to explain WHY you need them as well as HOW to use them.
Closely related to this, a highly important concept in today's programming practice is the idea of asynchronous programming, more commonly known as asyncio. Python and JavaScript, two of the most influential languages in today's development, are heavily focused on this new paradigm and we will cover this in a very intuitive, easy-to-understand manner. All the code files are placed at https://github.com/PacktPublishing/Beyond-Basic-Programming---Intermediate-Python
What You Will Learn
• Cross-cutting tools (logging and testing)
• Caveats in using lists 
• Intermediate Python concepts such as decorators, generators, and context managers
• Parallel programming, multithreading, synchronization, and locks 
• Asynchronous programming (asyncio) and data plotting 
• Regular expressions (and how to avoid headaches when using them)
Audience
Anyone who has a basic understanding of Python but wants to take their skills to the next level; beginners who want to learn the tools and techniques used by expert professional programmers; anyone who wants to learn about cross-cutting tools and skills that are useful in many programming languages and to learn the latest programming concepts, such as context managers, asynchronous programming, and regular expressions in a modular way.
Approach
For all concepts, this course is designed into a case-based teaching and Problem-based Learning approach and explains why we need the concepts we're using and how everything fits together.
Key Features
• Take your Python skill to the next level * • Master cross-cutting tools (logging and testing) * • Use asynchronous programming (asyncio) * • Plot data * • Modular Regular Expressions 
Github Repo
https://github.com/packtpublishing/beyond-basic-programming---intermediate-python
About the Author
Mohammad Nauman
Dr. Mohammad Nauman has a PhD in computer science and a PostDoc from the Max Planck Institute for software systems. He has been programming since early 2000 and has worked with many different languages, tools, and platforms. He holds extensive research experience with many state-of-the-art models. His research in Android security has led to some major shifts in the Android permission model. He loves teaching and the most important reason he teaches online is to make sure that maximum people can learn through his content. Hope you have fun learning with him!
Course Outline
1. Introduction

2. Cross-cutting Tools

3. Intermediate Programming Concepts

4. Time Saving Features

5. Parallel and Asynchronous Programming

6. Functional Programming

7. Applications


Take your Python skills to the next level. Learn how expert programmers work with code and the techniques they use.

Beyond Basic Programming - Intermediate Python

<strong>REST or RESTful API design (Representational State Transfer) is designed to take advantage of existing protocols.

Django REST framework is a powerful and flexible toolkit to build web APIs. Throughout the course, we will explore the most important Django Rest framework topics step-by-step. We will learn topics such as API basics, serializers, class-based views, and so on to build flexible APIs.
</strong>
        <p>This course touches on each and every important topic through concept explanation, documentation, and implementation. The entire course is designed for beginners with one goal in mind-to build powerful REST APIs using Python and Django.

Throughout the course, we will explore the most important Django Rest framework topics step-by-step. We will learn topics such as API basics, serializers, class-based views, and so on. After completing this course, you will be ready to work as an intern, fresher, or freelancer and you will also be able to implement everything yourself! Most importantly, you will be ready to dive deep with future practice and hard-level questions on DRF.

All resources and code files are placed here: https://github.com/PacktPublishing/Build-REST-APIs-with-Django-REST-Framework-and-Python</p>
        <h2>What You Will Learn</h2><p>Understand REST API from the basics<br>Learn advanced concepts such as permissions, throttling, pagination<br>Implement CRUD operations<br>How to use Browsable API as well as Postman<br>Understand authentication in DRF, including Token as well as JWT<br>Learn the fundamentals of statistics and apply them in practice</p>
        <h2>Audience</h2><p>This course is for Django developers who want to learn about API building. The entire course is designed for beginners with one goal in mind-to build powerful REST APIs using Python and Django. This course is for anyone who wants to get their career started.</p>
        <h2>Approach</h2><p>Learn all important concepts in the simplest possible way with examples and real-life projects. This course starts right from the basics and increases its level step by step. The complete course is built on a project-building approach.</p>
        <h2>Key Features</h2><p>Learn all important concepts in the simplest possible way with examples and real-life projects * Learn about throttling and Django filter backend * Explore permissions and authentication in Django</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Build-REST-APIs-with-Django-REST-Framework-and-Python</p>
        <h2>About the Author</h2><h3>Shubham Sarda</h3><p>Shubham is a software developer and digital marketer with a passion for teaching. He has worked with many funded start-ups, self-projects, and as a top-rated freelancer on multiple marketplaces. Currently, he stands among the top 700 freelancers with over 2,500+ projects on Fiverr, PeoplePerHour, Freelancer, and more.

As an instructor, he has taught programming and digital marketing to over 20,000 students, both with online courses and offline bootcamps. He has mastered explaining complex topics in the simplest form that is easy to understand and follow. His video courses are also used by companies to train their employees and by colleges to prepare and upgrade their students according to the latest industry requirements.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>This video introduces you to the section.</p></td></tr></tbody></table><br><h4>2. Basic API Concepts - Theory</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Understanding API</p><p style='margin: 0'>This video explains API.</p></td></tr><tr><td style='padding: 15px;'><p>2. Understanding REST API</p><p style='margin: 0'>This video explains REST API.</p></td></tr></tbody></table><br><h4>3. API with Django</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Django Setup</p><p style='margin: 0'>This video explains the basic Django setup.</p></td></tr><tr><td style='padding: 15px;'><p>2. Installation</p><p style='margin: 0'>This video explains the installation of Django.</p></td></tr><tr><td style='padding: 15px;'><p>3. Models and Migrations</p><p style='margin: 0'>This video explains models and migrations in Django.</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating JSON Response - All Elements</p><p style='margin: 0'>This video explains creating JSON response.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating JSON Response - Individual Elements</p><p style='margin: 0'>This video explains creating JSON response - individual elements.</p></td></tr></tbody></table><br><h4>4. Django REST Framework</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. DRF Introduction</p><p style='margin: 0'>This video explains DRF.</p></td></tr></tbody></table><br><h4>5. Views and Serializers</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Serializers - GET Request</p><p style='margin: 0'>This video explains serializers - GET request.</p></td></tr><tr><td style='padding: 15px;'><p>2. Serializers - POST, PUT, DELETE Request</p><p style='margin: 0'>This video explains POST, PUT, DELETE request.</p></td></tr><tr><td style='padding: 15px;'><p>3. Status Codes</p><p style='margin: 0'>This video explains status codes.</p></td></tr><tr><td style='padding: 15px;'><p>4. APIView Class</p><p style='margin: 0'>This video explains APIView class.</p></td></tr><tr><td style='padding: 15px;'><p>5. Validation</p><p style='margin: 0'>This video explains validation.</p></td></tr><tr><td style='padding: 15px;'><p>6. Serializer Fields and Core Arguments</p><p style='margin: 0'>This video explains serializer fields and core arguments.</p></td></tr><tr><td style='padding: 15px;'><p>7. Model Serializer</p><p style='margin: 0'>This video explains model serializer.</p></td></tr><tr><td style='padding: 15px;'><p>8. Custom Serializer Fields</p><p style='margin: 0'>This video explains custom serializer fields.</p></td></tr><tr><td style='padding: 15px;'><p>9. Updating Models</p><p style='margin: 0'>This video explains updating models.</p></td></tr><tr><td style='padding: 15px;'><p>10. Django Relationships</p><p style='margin: 0'>This video explains Django relationships.</p></td></tr><tr><td style='padding: 15px;'><p>11. Nested Serializers</p><p style='margin: 0'>This video explains nested serializers.</p></td></tr><tr><td style='padding: 15px;'><p>12. Serializer Relations</p><p style='margin: 0'>This video explains serializer relations.</p></td></tr><tr><td style='padding: 15px;'><p>13. HyperLinked Model Serializer</p><p style='margin: 0'>This video explains HyperLinked model serializer.</p></td></tr><tr><td style='padding: 15px;'><p>14. Serializer Relations Continued</p><p style='margin: 0'>This video explains more about serializer relations.</p></td></tr><tr><td style='padding: 15px;'><p>15. GenericAPIView and Mixins</p><p style='margin: 0'>This video explains GenericAPIView and Mixins.</p></td></tr><tr><td style='padding: 15px;'><p>16. URL Structure</p><p style='margin: 0'>This video explains URL structure.</p></td></tr><tr><td style='padding: 15px;'><p>17. Concrete View Classes</p><p style='margin: 0'>This video explains concrete view classes.</p></td></tr><tr><td style='padding: 15px;'><p>18. Overwrite Queryset</p><p style='margin: 0'>This video explains Overwrite Queryset.</p></td></tr><tr><td style='padding: 15px;'><p>19. Viewsets and Routers</p><p style='margin: 0'>This video explains Viewsets and routers.</p></td></tr><tr><td style='padding: 15px;'><p>20. ModelViewSets</p><p style='margin: 0'>This video explains ModelViewSets.</p></td></tr></tbody></table><br><h4>6. Postman and Project Update</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Postman</p><p style='margin: 0'>This video explains Postman.</p></td></tr><tr><td style='padding: 15px;'><p>2. User Model</p><p style='margin: 0'>This video explains the user model.</p></td></tr><tr><td style='padding: 15px;'><p>3. Temporary Login and Logout</p><p style='margin: 0'>This video explains temporary login and logout.</p></td></tr></tbody></table><br><h4>7. Permissions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Permissions</p><p style='margin: 0'>This video introduces you to permissions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Custom Permissions</p><p style='margin: 0'>This video explains custom permissions.</p></td></tr><tr><td style='padding: 15px;'><p>3. Custom Calculation</p><p style='margin: 0'>This video explains custom calculation.</p></td></tr></tbody></table><br><h4>8. Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Authentications</p><p style='margin: 0'>This video gives an introduction to authentications.</p></td></tr></tbody></table><br><h4>9. Basic Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Authentication</p><p style='margin: 0'>This video explains basic authentication.</p></td></tr></tbody></table><br><h4>10. Token Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Token Authentication - Part 1</p><p style='margin: 0'>This video explains about token authentication.</p></td></tr><tr><td style='padding: 15px;'><p>2. Token Authentication - Part 2</p><p style='margin: 0'>This video explains more about token authentication.</p></td></tr><tr><td style='padding: 15px;'><p>3. Token Authentication - Part 3 (Login)</p><p style='margin: 0'>This video explains login in token authentication.</p></td></tr><tr><td style='padding: 15px;'><p>4. Token Authentication - Part 4 (Registration)</p><p style='margin: 0'>This video explains about registration in token authentication.</p></td></tr><tr><td style='padding: 15px;'><p>5. Token Authentication - Part 5 (Registration)</p><p style='margin: 0'>This video explains more about registration in token authentication.</p></td></tr><tr><td style='padding: 15px;'><p>6. Token Authentication - Part 6 (Logout)</p><p style='margin: 0'>This video explains logout in token authentication.</p></td></tr></tbody></table><br><h4>11. Manual Testing Entire Project</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Manual Testing Entire Project - Part 1</p><p style='margin: 0'>This video explains manual testing.</p></td></tr><tr><td style='padding: 15px;'><p>2. Manual Testing Entire Project - Part 2</p><p style='margin: 0'>This video further explains manual testing.</p></td></tr></tbody></table><br><h4>12. JWT Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. JWT Authentication - Access Token and Refresh Token</p><p style='margin: 0'>This video explains JWT Authentication - access token and refresh token.</p></td></tr><tr><td style='padding: 15px;'><p>2. JWT Authentication - Login</p><p style='margin: 0'>This video explains JWT authentication - login.</p></td></tr><tr><td style='padding: 15px;'><p>3. JWT Authentication - Registration</p><p style='margin: 0'>This video explains JWT Authentication - Registration.</p></td></tr></tbody></table><br><h4>13. Throttling</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Throttling Introduction</p><p style='margin: 0'>This video introduces you to throttling.</p></td></tr><tr><td style='padding: 15px;'><p>2. Throttle Rate (Anon and User)</p><p style='margin: 0'>This video explains throttling rate (anon and user).</p></td></tr><tr><td style='padding: 15px;'><p>3. Throttle Rate (Custom and Scope)</p><p style='margin: 0'>This video explains throttle rate (custom and scope).</p></td></tr></tbody></table><br><h4>14. Filtering, Searching, Ordering</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Filtering Introduction</p><p style='margin: 0'>This video explains filtering.</p></td></tr><tr><td style='padding: 15px;'><p>2. Filter, Search, Order</p><p style='margin: 0'>This video explains filter, search, order.</p></td></tr><tr><td style='padding: 15px;'><p>3. Project Update</p><p style='margin: 0'>This video explains the project.</p></td></tr></tbody></table><br><h4>15. Pagination</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Pagination Part 1 - PageNumber</p><p style='margin: 0'>This video explains PageNumber in pagination.</p></td></tr><tr><td style='padding: 15px;'><p>2. Pagination Part 2 - LimitOffset</p><p style='margin: 0'>This video explains LimitOffset in pagination.</p></td></tr><tr><td style='padding: 15px;'><p>3. Pagination Part 2 - Cursor</p><p style='margin: 0'>This video explains cursor in pagination.</p></td></tr><tr><td style='padding: 15px;'><p>4. Browsable API Update</p><p style='margin: 0'>This video explains browsable API update.</p></td></tr></tbody></table><br><h4>16. Automated API Testing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. API Testing - Registration</p><p style='margin: 0'>This video explains registration.</p></td></tr><tr><td style='padding: 15px;'><p>2. API Testing - Login and Logout</p><p style='margin: 0'>This video explains login and logout in API testing.</p></td></tr><tr><td style='padding: 15px;'><p>3. API Testing - StreamPlatform</p><p style='margin: 0'>This video explains StreamPlatform.</p></td></tr><tr><td style='padding: 15px;'><p>4. API Testing - WatchList</p><p style='margin: 0'>This video explains WatchList.</p></td></tr><tr><td style='padding: 15px;'><p>5. API Testing - ReviewTestCase</p><p style='margin: 0'>This video explains ReviewTestCase.</p></td></tr><tr><td style='padding: 15px;'><p>6. API Testing - UserTestCase</p><p style='margin: 0'>This video explains UserTestCase.</p></td></tr><tr><td style='padding: 15px;'><p>7. Test Driven Development - TDD</p><p style='margin: 0'>This video explains test driven development.</p></td></tr><tr><td style='padding: 15px;'><p>8. Project Completed</p><p style='margin: 0'>This video explains the project.</p></td></tr></tbody></table><br><h4>17. Optional - Code Cleanup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Optional - Code Cleanup</p><p style='margin: 0'>This video explains the code cleanup.</p></td></tr></tbody></table><br><h4>18. Thank You</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Thank You for Being Here!</p><p style='margin: 0'>This video wraps up the course.</p></td></tr></tbody></table>

REST or RESTful API design (Representational State Transfer) is designed to take advantage of existing protocols. Django REST framework is a powerful and flexible toolkit to build web APIs. Throughout the course, we will explore the most important Django Rest framework topics step-by-step. We will learn topics such as API basics, serializers, class-based views, and so on to build flexible APIs.
This course touches on each and every important topic through concept explanation, documentation, and implementation. The entire course is designed for beginners with one goal in mind-to build powerful REST APIs using Python and Django. Throughout the course, we will explore the most important Django Rest framework topics step-by-step. We will learn topics such as API basics, serializers, class-based views, and so on. After completing this course, you will be ready to work as an intern, fresher, or freelancer and you will also be able to implement everything yourself! Most importantly, you will be ready to dive deep with future practice and hard-level questions on DRF. All resources and code files are placed here: https://github.com/PacktPublishing/Build-REST-APIs-with-Django-REST-Framework-and-Python
What You Will Learn
Understand REST API from the basics
Learn advanced concepts such as permissions, throttling, pagination
Implement CRUD operations
How to use Browsable API as well as Postman
Understand authentication in DRF, including Token as well as JWT
Learn the fundamentals of statistics and apply them in practice
Audience
This course is for Django developers who want to learn about API building. The entire course is designed for beginners with one goal in mind-to build powerful REST APIs using Python and Django. This course is for anyone who wants to get their career started.
Approach
Learn all important concepts in the simplest possible way with examples and real-life projects. This course starts right from the basics and increases its level step by step. The complete course is built on a project-building approach.
Key Features
Learn all important concepts in the simplest possible way with examples and real-life projects * Learn about throttling and Django filter backend * Explore permissions and authentication in Django
Github Repo
https://github.com/PacktPublishing/Build-REST-APIs-with-Django-REST-Framework-and-Python
About the Author
Shubham Sarda
Shubham is a software developer and digital marketer with a passion for teaching. He has worked with many funded start-ups, self-projects, and as a top-rated freelancer on multiple marketplaces. Currently, he stands among the top 700 freelancers with over 2,500+ projects on Fiverr, PeoplePerHour, Freelancer, and more. As an instructor, he has taught programming and digital marketing to over 20,000 students, both with online courses and offline bootcamps. He has mastered explaining complex topics in the simplest form that is easy to understand and follow. His video courses are also used by companies to train their employees and by colleges to prepare and upgrade their students according to the latest industry requirements.
Course Outline
1. Course Introduction

1. Course Introduction
This video introduces you to the section.
2. Basic API Concepts - Theory

1. Understanding API
This video explains API.
2. Understanding REST API
This video explains REST API.
3. API with Django

1. Basic Django Setup
This video explains the basic Django setup.
2. Installation
This video explains the installation of Django.
3. Models and Migrations
This video explains models and migrations in Django.
4. Creating JSON Response - All Elements
This video explains creating JSON response.
5. Creating JSON Response - Individual Elements
This video explains creating JSON response - individual elements.
4. Django REST Framework

1. DRF Introduction
This video explains DRF.
5. Views and Serializers

1. Serializers - GET Request
This video explains serializers - GET request.
2. Serializers - POST, PUT, DELETE Request
This video explains POST, PUT, DELETE request.
3. Status Codes
This video explains status codes.
4. APIView Class
This video explains APIView class.
5. Validation
This video explains validation.
6. Serializer Fields and Core Arguments
This video explains serializer fields and core arguments.
7. Model Serializer
This video explains model serializer.
8. Custom Serializer Fields
This video explains custom serializer fields.
9. Updating Models
This video explains updating models.
10. Django Relationships
This video explains Django relationships.
11. Nested Serializers
This video explains nested serializers.
12. Serializer Relations
This video explains serializer relations.
13. HyperLinked Model Serializer
This video explains HyperLinked model serializer.
14. Serializer Relations Continued
This video explains more about serializer relations.
15. GenericAPIView and Mixins
This video explains GenericAPIView and Mixins.
16. URL Structure
This video explains URL structure.
17. Concrete View Classes
This video explains concrete view classes.
18. Overwrite Queryset
This video explains Overwrite Queryset.
19. Viewsets and Routers
This video explains Viewsets and routers.
20. ModelViewSets
This video explains ModelViewSets.
6. Postman and Project Update

1. Postman
This video explains Postman.
2. User Model
This video explains the user model.
3. Temporary Login and Logout
This video explains temporary login and logout.
7. Permissions

1. Introduction to Permissions
This video introduces you to permissions.
2. Custom Permissions
This video explains custom permissions.
3. Custom Calculation
This video explains custom calculation.
8. Authentication

1. Introduction to Authentications
This video gives an introduction to authentications.
9. Basic Authentication

1. Basic Authentication
This video explains basic authentication.
10. Token Authentication

1. Token Authentication - Part 1
This video explains about token authentication.
2. Token Authentication - Part 2
This video explains more about token authentication.
3. Token Authentication - Part 3 (Login)
This video explains login in token authentication.
4. Token Authentication - Part 4 (Registration)
This video explains about registration in token authentication.
5. Token Authentication - Part 5 (Registration)
This video explains more about registration in token authentication.
6. Token Authentication - Part 6 (Logout)
This video explains logout in token authentication.
11. Manual Testing Entire Project

1. Manual Testing Entire Project - Part 1
This video explains manual testing.
2. Manual Testing Entire Project - Part 2
This video further explains manual testing.
12. JWT Authentication

1. JWT Authentication - Access Token and Refresh Token
This video explains JWT Authentication - access token and refresh token.
2. JWT Authentication - Login
This video explains JWT authentication - login.
3. JWT Authentication - Registration
This video explains JWT Authentication - Registration.
13. Throttling

1. Throttling Introduction
This video introduces you to throttling.
2. Throttle Rate (Anon and User)
This video explains throttling rate (anon and user).
3. Throttle Rate (Custom and Scope)
This video explains throttle rate (custom and scope).
14. Filtering, Searching, Ordering

1. Filtering Introduction
This video explains filtering.
2. Filter, Search, Order
This video explains filter, search, order.
3. Project Update
This video explains the project.
15. Pagination

1. Pagination Part 1 - PageNumber
This video explains PageNumber in pagination.
2. Pagination Part 2 - LimitOffset
This video explains LimitOffset in pagination.
3. Pagination Part 2 - Cursor
This video explains cursor in pagination.
4. Browsable API Update
This video explains browsable API update.
16. Automated API Testing

1. API Testing - Registration
This video explains registration.
2. API Testing - Login and Logout
This video explains login and logout in API testing.
3. API Testing - StreamPlatform
This video explains StreamPlatform.
4. API Testing - WatchList
This video explains WatchList.
5. API Testing - ReviewTestCase
This video explains ReviewTestCase.
6. API Testing - UserTestCase
This video explains UserTestCase.
7. Test Driven Development - TDD
This video explains test driven development.
8. Project Completed
This video explains the project.
17. Optional - Code Cleanup

1. Optional - Code Cleanup
This video explains the code cleanup.
18. Thank You

1. Thank You for Being Here!
This video wraps up the course.

Postman

Web Development

REST or RESTful API design (Representational State Transfer) is designed to take advantage of existing protocols.

Django REST framework is a powerful and flexible toolkit to build web APIs. Throughout the course, we will explore the most important Django Rest framework topics step-by-step. We will learn topics such as API basics, serializers, class-based views, and so on to build flexible APIs.

Build REST APIs with Django REST Framework and Python

Learn about automated software testing with Python, BDD, Selenium WebDriver, and Postman, focusing on web applications
Welcome to the most comprehensive course on automated software testing with Python. Software testing is an essential skill for any developer, and this course will help you truly understand all types of test automation with Python. The focus of this course is on testing for the web-we'll be working with REST APIs and web applications, and technologies such as unittest, Postman, and Selenium WebDriver-ranging from operations such as mocking and patching using the unit test library (to reduce dependencies and turn complex tests into simple ones) to looking at all types of testing: simple unit tests to large system tests and even customer acceptance tests. Throughout the course we work on the Testing Pyramid concept, making sure that we have full coverage of every system component with unit tests. Then we test dependencies using integration tests. Finally, we cover the entire system using system tests. Of course, we also look at what acceptance testing is, how we come up with acceptance tests, and some of the best ways to write acceptance tests for a web application using Behavior-Driven Development and Selenium WebDriver. We also learn about implicit and explicit waits with Selenium WebDriver and Python, a key concept used to speed up the runtime of your acceptance tests. By implementing a Continuous Integration pipeline that runs your tests whenever you make any changes, you'll have much higher project quality so that you don't miss any annoying bugs. We'll look at putting our projects into GitHub and linking with them. All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Automated-Software-Testing-with-Python
What You Will Learn
Everything you need to know about automated software testing with Python (and how to enjoy testing, too!)
Common pitfalls and best practices when writing automated tests
Write complete system tests using Python and tools such as Postman
Automate your application testing by setting up a Continuous Integration pipeline using Travis CI
Browser-based acceptance testing using Behave and Selenium WebDriver
Audience
This course is designed for students who want to test their Python applications in order to build more complete solutions, professionals keen to learn more about automated software testing in their workplace, automated software testers, and software developers
Approach
A complete course packed with step-by-step instructions, working examples, and helpful advice
Key Features
Learn automated software testing with Python * Learn to write complete system tests using Python and tools such as Postman
Github Repo
https://github.com/packtpublishing/automated-software-testing-with-python
About the Author
Jose Salvatierra Fuentes
Jose, a passionate educator in the realm of coding and software development, has dedicated over 7 years to teaching online. He founded Teclado with a vision to democratize software development education, striving to ensure comprehensive understanding for his students. His approach makes learning coding a clear, rewarding journey, connecting the dots that once seemed obscure. Specializing in Python and JavaScript, Jose excels in web and backend development. He's proficient in various libraries and frameworks, including Flask, React, React Native, and AngularJS. His expertise extends to working with UNIX systems, MongoDB, PostgreSQL, and crafting advanced system architectures. Jose's commitment is to make the learning process both efficient and enjoyable, guiding students to mastery in software development.
Course Outline
1. Welcome
This section welcomes the course
1. Welcome to the course
Welcome: Welcome to the course
2. A Full Python Refresher
This section is about Python Refresher and includes lectures on Variables in Python, Methods, List, tuple and sets.
1. Variables in Python
A Full Python Refresher: Variables in Python
2. String formatting in Python
A Full Python Refresher: String formatting in Python
3. Getting user input
A Full Python Refresher: Getting user input
4. Writing our first Python app
A Full Python Refresher: Writing our first Python app
5. Lists, tuples, and sets
A Full Python Refresher: Lists, tuples, and sets
6. Advanced set operations
A Full Python Refresher: Advanced set operations
7. Booleans in Python
A Full Python Refresher: Booleans in Python
8. If statements
A Full Python Refresher: If statements
9. The 'in' keyword in Python
A Full Python Refresher: The 'in' keyword in Python
10. If statements with the 'in' keyword
A Full Python Refresher: If statements with the 'in' keyword
11. Loops in Python
A Full Python Refresher: Loops in Python
12. List comprehensions in Python
A Full Python Refresher: List comprehensions in Python
13. Dictionaries
A Full Python Refresher: Dictionaries
14. Destructuring variables
A Full Python Refresher: Destructuring variables
15. Functions in Python
A Full Python Refresher: Functions in Python
16. Function arguments and parameters
A Full Python Refresher: Function arguments and parameters
17. Default parameter values
A Full Python Refresher: Default parameter values
18. Functions returning values
A Full Python Refresher: Functions returning values
19. Lambda functions in Python
A Full Python Refresher: Lambda functions in Python
20. Dictionary comprehensions
A Full Python Refresher: Dictionary comprehensions
21. Unpacking arguments
A Full Python Refresher: Unpacking arguments
22. Unpacking keyword arguments
A Full Python Refresher: Unpacking keyword arguments
23. Object-Oriented Programming in Python
A Full Python Refresher: Object-Oriented Programming in Python
24. Magic methods: __str__ and __repr__
A Full Python Refresher: Magic methods: __str__ and __repr__
25. @classmethod and @staticmethod
A Full Python Refresher: @classmethod and @staticmethod
26. Class inheritance
A Full Python Refresher: Class inheritance
27. Class composition
A Full Python Refresher: Class composition
28. Type hinting in Python 3.5+
A Full Python Refresher: Type hinting in Python 3.5+
29. Imports in Python
A Full Python Refresher: Imports in Python
30. Relative imports in Python
A Full Python Refresher: Relative imports in Python
31. Errors in Python
A Full Python Refresher: Errors in Python
32. Custom error classes
A Full Python Refresher: Custom error classes
33. First-class functions
A Full Python Refresher: First-class functions
34. Simple decorators in Python
A Full Python Refresher: Simple decorators in Python
35. The 'at' syntax for decorators
A Full Python Refresher: The 'at' syntax for decorators
36. Decorating functions with parameters
A Full Python Refresher: Decorating functions with parameters
37. Decorators with parameters
A Full Python Refresher: Decorators with parameters
38. Mutability in Python
A Full Python Refresher: Mutability in Python
39. Mutable default parameters (and why they're a bad idea)
A Full Python Refresher: Mutable default parameters (and why they're a bad idea)
3. Your first automated software test
In this section, you will do your first automated software test. This shows Setting up project, writing first test, testing dictionary equivalence and lot more.
1. Introduction to this section
Your first automated software test: Introduction to this section
2. Setting up our project
Your first automated software test: Setting up our project
3. Writing our first test
Your first automated software test: Writing our first test
4. Testing dictionary equivalence
Your first automated software test: Testing dictionary equivalence
5. Writing blog tests and PyCharm run configurations
Your first automated software test: Writing blog tests and PyCharm run configurations
6. The __repr__ method, and intro to TDD
Your first automated software test: The __repr__ method, and intro to TDD
7. Integration tests and finishing the blog
Your first automated software test: Integration tests and finishing the blog
8. Mocking, patching, and system tests
Your first automated software test: Mocking, patching, and system tests
9. Patching the input method and returning values
Your first automated software test: Patching the input method and returning values
10. Taking our patching further
Your first automated software test: Taking our patching further
11. The last few patches!
Your first automated software test: The last few patches!
12. The TestCase setUp method
Your first automated software test: The TestCase setUp method
13. Conclusion of this section
Your first automated software test: Conclusion of this section
4. Testing a Flask Endpoint
This section is about testing a Flask Endpoint and includes lectures on Setting up project, creating our flask app, refactoring the system tests and so on.
1. Introduction to this section
Testing a Flask Endpoint: Introduction to this section
2. Setting our project up
Testing a Flask Endpoint: Setting our project up
3. Creating our Flask app
Testing a Flask Endpoint: Creating our Flask app
4. Our first System test
Testing a Flask Endpoint: Our first System test
5. Refactoring our System Tests
Testing a Flask Endpoint: Refactoring our System Tests
6. Conclusion of this section
Testing a Flask Endpoint: Conclusion of this section
5. REST API Testing, Part I
This section includes REST API Testing.
1. Introduction to this section
REST API Testing, Part I: Introduction to this section
2. A look at a REST API with Flask
REST API Testing, Part I: A look at a REST API with Flask
3. Unit testing a REST API
REST API Testing, Part I: Unit testing a REST API
4. Setting up our generic BaseTest
REST API Testing, Part I: Setting up our generic BaseTest
5. Integration testing a REST API
REST API Testing, Part I: Integration testing a REST API
6. Conclusion of this section
REST API Testing, Part I: Conclusion of this section
6. REST API Testing, Part II
This section is about REST API Testing
1. Introduction to this section
REST API Testing, Part II: Introduction to this section
2. Setting up our project
REST API Testing, Part II: Setting up our project
3. Testing foreign key constraints with Python
REST API Testing, Part II: Testing foreign key constraints with Python
4. Unit testing models and SQLAlchemy mappers
REST API Testing, Part II: Unit testing models and SQLAlchemy mappers
5. Finishing our Store tests
REST API Testing, Part II: Finishing our Store tests
6. Conclusion of this section
REST API Testing, Part II: Conclusion of this section
7. System testing a REST API
This section is about System testing a REST API
1. Introduction to this section
System testing a REST API: Introduction to this section
2. Setting project up and creating User model
System testing a REST API: Setting project up and creating User model
3. Allowing users to log in
System testing a REST API: Allowing users to log in
4. Writing our User tests
System testing a REST API: Writing our User tests
5. The setUpClass method in the BaseTest
System testing a REST API: The setUpClass method in the BaseTest
6. Testing user registration
System testing a REST API: Testing user registration
7. Finalising user System tests
System testing a REST API: Finalising user System tests
8. Writing Store System tests
System testing a REST API: Writing Store System tests
9. Writing our Item System tests and testing authentication
System testing a REST API: Writing our Item System tests and testing authentication
10. Conclusion of this section
System testing a REST API: Conclusion of this section
8. System testing with Postman and Newman
This section involves System testing with Postman and Newman.
1. Introduction to this section
System testing with Postman and Newman: Introduction to this section
2. Introduction to Postman
System testing with Postman and Newman: Introduction to Postman
3. Our first Posman tests
System testing with Postman and Newman: Our first Posman tests
4. Setting and clearing environment variables in Postman
System testing with Postman and Newman: Setting and clearing environment variables in Postman
5. Running a test folder in Postman
System testing with Postman and Newman: Running a test folder in Postman
6. Advanced PyCharm run configurations
System testing with Postman and Newman: Advanced PyCharm run configurations
7. Installing Node and Newman
System testing with Postman and Newman: Installing Node and Newman
8. Multirun in PyCharm-Running app and tests together
System testing with Postman and Newman: Multirun in PyCharm-Running app and tests together
9. Conclusion of this section
System testing with Postman and Newman: Conclusion of this section
9. Continuous Integration with Travis CI
This section is about Continuous Integration with Travis CI
1. Introduction to this section
Continuous Integration with Travis CI: Introduction to this section
2. Installing Git
Continuous Integration with Travis CI: Installing Git
3. What is a Git repository?
Continuous Integration with Travis CI: What is a Git repository?
4. A local Git workflow
Continuous Integration with Travis CI: A local Git workflow
5. GitHub and remote repositories
Continuous Integration with Travis CI: GitHub and remote repositories
6. Adding our project to GitHub
Continuous Integration with Travis CI: Adding our project to GitHub
7. What is Travis CI?
Continuous Integration with Travis CI: What is Travis CI?
8. Adding our repository to Travis
Continuous Integration with Travis CI: Adding our repository to Travis
9. The Travis config file and running tests
Continuous Integration with Travis CI: The Travis config file and running tests
10. Adding our test badge to the Readme
Continuous Integration with Travis CI: Adding our test badge to the Readme
11. Conclusion of this section
Continuous Integration with Travis CI: Conclusion of this section
10. Acceptance testing and browser automation with Selenium
This section is about Acceptance testing and browser automation with Selenium in detail.
1. Introduction to this section
Acceptance testing and browser automation with Selenium: Introduction to this section
2. What is acceptance testing?
Acceptance testing and browser automation with Selenium: What is acceptance testing?
3. Introduction to our project
Acceptance testing and browser automation with Selenium: Introduction to our project
4. Our first acceptance test step
Acceptance testing and browser automation with Selenium: Our first acceptance test step
5. Getting the Chrome webdriver
Acceptance testing and browser automation with Selenium: Getting the Chrome webdriver
6. Verifying everything works
Acceptance testing and browser automation with Selenium: Verifying everything works
7. Finishing our first test
Acceptance testing and browser automation with Selenium: Finishing our first test
8. Re-using steps with the regular expression matcher
Acceptance testing and browser automation with Selenium: Re-using steps with the regular expression matcher
9. Our first content test
Acceptance testing and browser automation with Selenium: Our first content test
10. Page locators and models
Acceptance testing and browser automation with Selenium: Page locators and models
11. The blog page
Acceptance testing and browser automation with Selenium: The blog page
12. Using pages in navigation
Acceptance testing and browser automation with Selenium: Using pages in navigation
13. Don't over-generalise tests!
Acceptance testing and browser automation with Selenium: Don't over-generalise tests!
14. Waits and timeouts with Selenium
Acceptance testing and browser automation with Selenium: Waits and timeouts with Selenium
15. Debugging acceptance tests in PyCharm
Acceptance testing and browser automation with Selenium: Debugging acceptance tests in PyCharm
16. Our final complex scenario
Acceptance testing and browser automation with Selenium: Our final complex scenario
17. Filling in forms with Selenium
Acceptance testing and browser automation with Selenium: Filling in forms with Selenium
18. Conclusion of this section
Acceptance testing and browser automation with Selenium: Conclusion of this section

Learn about automated software testing with Python, BDD, Selenium WebDriver, and Postman, focusing on web applications

Automated Software Testing with Python

London

<div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Python BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.</strong></p></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PYTHON BOOTCAMP:</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This 12-week Python Boot Camp is a practical, instructor-lead program, covering Python from start to in-depth. You will be fully fluent and confident as a Python programmer.</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">If you have more questions goto&nbsp;<a href="http://pcworkshopslondon.co.uk/contact.html" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="66" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">https://pcworkshopslondon.co.uk/contact.html&nbsp;</a>,</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Or&nbsp;<a href="https://pcworkshopslondon.co.uk/" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="67" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">contact us on training@pcworkshopslondon.co.uk</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><a href="https://pcworkshopslondon.co.uk/contact.htm" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="68" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">C﻿ustomise dates, course outline, arrange installments</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">This course will give you enough&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">practical experience and practical projects</strong>&nbsp;to code, to give you full confidence to enter into the coding profession. &nbsp;&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration:&nbsp;</strong>3 months:</p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">1 Python class per week,</li><li fr-original-style="" style="box-sizing: border-box;">Plus pratical work,</li><li fr-original-style="" style="box-sizing: border-box;">Plus personal trainer-mentor for 1-1 training,</li><li fr-original-style="" style="box-sizing: border-box;">Plus e-learning materials.</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Final project :&nbsp;</strong>Practical to upload to&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">GitHub&nbsp;</strong>and show-case</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Date and times, choose:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fridays in London or Online&nbsp;</strong>, 10am - 5pm,</li><li fr-original-style="" style="box-sizing: border-box;">or&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Saturdays in London or Online&nbsp;</strong>, 12noon-6pm,</li><li fr-original-style="" style="box-sizing: border-box;">o﻿r negotiate your date</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study level:</strong> Start from beginners level to in-depth, ready to work professionally.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Virtual attendance: &nbsp;</strong>online instructor-led&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>: Anaconda.com</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Pre-requisites:&nbsp;</strong>General computer literacy.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Oracle Qualification:&nbsp;</strong>PCWorkshops Python Programmer Certificate</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Payments:</strong>&nbsp; You may apply to pay in installments for this Python Training course</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE OUTLINE</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 1 - 4: Essentials</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Python Coding Basics</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Object Oriented programming:&nbsp;</strong>Python Object Orientated programming (OOP)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UX Principles:&nbsp;</strong>UX Principles and applying it on Front-ends with TKinter</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Specialised topics:&nbsp;</strong>Dates, Localization, Strings, Maths Operation , Random Number,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lambdas</strong></li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 5 - 10 : All about data</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Data Structures:</strong>&nbsp;Lists, Tuples, Sets,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exceptions</strong>, I/O Fundamentals , Reading and Writing file</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database:&nbsp;</strong>Database principles and SQL.&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database Project:&nbsp;</strong>Python database connections and creating a database driven project</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Numpy. Pandas for data analytics and data queries.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data visualisation:&nbsp;</strong>MatPlotLib</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Prediction:&nbsp;</strong>Machine Learning Basics</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 11 and 12: The final touch</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Concurrency and Multi-threading:</strong>&nbsp;Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Unit Testing</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">O﻿ptional&nbsp;</strong>: Replace Week 11 or 12 with Scraping using Python, ot Tkinter Front-ends</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">I﻿NCLUDED:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">PCWorkshops Python Course Certificate on completion.</li><li fr-original-style="" style="box-sizing: border-box;">Python Course notes.</li><li fr-original-style="" style="box-sizing: border-box;">Practical Course exercises, Code Examples, Online Materials.</li><li fr-original-style="" style="box-sizing: border-box;">After the course, continuous assistance with practical and preparation for exams</li><li fr-original-style="" style="box-sizing: border-box;">Max group size on this is 4.</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: Post your Python project online.</li><li fr-original-style="" style="box-sizing: border-box;">Exam preparation and interview questions</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">MORE ABOUT THE ONLINE CLASSROOM</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Attend from your internet connection</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Instructor-led, get instant answers to your questions</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Fully interactive</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Work clearly explained with demonstrations and examples</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Practical exercises to be tried out by delegate</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">WHAT YOU WILL GAIN:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Skills &amp; knowledge: Python coding knowledge and understanding with good practical application &nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Certification:&nbsp;Internal PCWorkshops Python certificate</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: You will have an online portfolio of Python projects&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Experience:&nbsp;Our comprehensive practical makes you job ready</li></ul></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F444528299%2F44980801875%2F1%2Foriginal.20230212-111230?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=bc03bf9766e6c9ca0436ac60d0be83d6" alt="" data-airgap-id="88" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588336959%2F44980801875%2F1%2Foriginal.20230901-170557?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=e4036ff76e1af36cfba9452461b16c48" alt="" data-airgap-id="87" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337149%2F44980801875%2F1%2Foriginal.20230901-170614?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=cdf1fcea5ad47abc354df67b458d5237" alt="" data-airgap-id="89" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337349%2F44980801875%2F1%2Foriginal.20230901-170630?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=839d02fa3087d55ac858bcbb697972f5" alt="" data-airgap-id="86" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><div style="color: rgb(30, 10, 60); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(30, 10, 60);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Refund Policy</h2></div><div style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">No Refunds</div>

This Python Data Analytics BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.



Data Analytics BOOT CAMP with Python:
This 8-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .
You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.
From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards
The course is a practical, instructor-lead program.

If you have more questions goto https://pcworkshopslondon.co.uk/contact.html,
Or contact us on training@pcworkshopslondon.co.uk
C﻿ustomise dates, course outline, arrange installments
This course will give you enough practical experience and practical projects to code, to give you full confidence to enter into the coding profession. 
Duration: 8 weeks:
1 Python class per week,
Plus practical work,
Plus personal trainer-mentor for 1-1 training,
Plus e-learning materials.
Final project : Practical to upload to GitHub and show-case
Date and times, choose:
Choose a start date from the list , to make you booking, and from there once a week for 8 weeks.
Study level: Start from beginners level to in-depth, ready to work professionally.
Virtual attendance: online instructor-led 
Download: Anaconda.com
Pre-requisites: General computer literacy.
Oracle Qualification: PCWorkshops Python Programmer Certificate
Payments: You may apply to pay in instalments for this Python Training course
COURSE OUTLINE
W﻿eek 1 - 3:  Essentials
Python Coding Basics
Object Oriented programming: Python Object Orientated programming (OOP)
UX Principles: UX Principles and applying it on Front-ends with TKinter

Specialised topics: Dates, Localization, Strings, Maths Operation , Random Number, Lambdas
W﻿eek 4 - 7: All about data
Python Data Structures: Lists, Tuples, Sets, Exceptions, I/O Fundamentals , Reading and Writing file . 

Database: Database principles and SQL. Database Project: Python database connections and creating a database driven project
Data Analytics: Numpy. Pandas for data analytics and data queries.
Data Analytics: Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.
Data visualisation: MatPlotLib

Prediction: Machine Learning Basics
W﻿eek 8: The final touch
Python Concurrency and Multi-threading: Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks
Python Unit Testing

I﻿NCLUDED:
PCWorkshops Python Course Certificate on completion.
Python Course notes.
Practical Course exercises, Code Examples, Online Materials.
After the course, continuous assistance with practical and preparation for exams
Max group size on this is 4.
Portfolio: Post your Python project online.
Exam preparation and interview questions
MORE ABOUT THE ONLINE CLASSROOM
Attend from your internet connection
Instructor-led, get instant answers to your questions
Fully interactive
Work clearly explained with demonstrations and examples
Practical exercises to be tried out by delegate
WHAT YOU WILL GAIN:
Skills & knowledge: Python coding knowledge and understanding with good practical application
Certification: Internal PCWorkshops Python certificate
Portfolio: You will have an online portfolio of Python projects
Experience: Our comprehensive practical makes you job ready






Refund Policy
No Refunds

PCWorkshops

PYTHON BOOTCAMP:



This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .



You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.



From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards



The course is a practical, instructor-lead program.



Data Analytics BootCamp, 12-weeks, Online Instructor-led

Python Bootcamp Saturdays, Online

<div>
	                  <h5>MS Power BI Course summary</h5>
	               </div>
	               <div></div>
	               <p> 
				   
							   Data Visualization Courses London. 
					   In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational Visualations
This course is ideal for managers and data analysts who need to make business descisions based on data.

					   
						<br /><br />The course duration is 1 day.

				   </p>
				   <div id="PBITaster">
	                  <h5>MS Power BI 1-Hour Taster</h5>
	               </div>
	               <div></div>
	               <p> 
				   
							   Our 1 hour Power BI taster gives an excellent summary of Power BI. Is give you the basics, so that you could decide on a full course, or teach yourself from there.
						<br />Terminology overview, Get Data, Visual Basics, Format The Visual, Change the Formulae, Add KPI's, Add Dynamic Filters, Addd the visual to a Dashboard	
						<br />Contact us for a time and date, and then the 1 hour.
						<br />
						</p>

				   <p></p>
				   
	               <div>
	                  <div>
							<h5>MS Power BI 1-day Full Course Description</h5>
	                  </div>
	                  <div></div>
 
												 
						<div>
							<strong> Introduction: </strong> 
											<p> 
							Connect to your data source and various data sources. 
							<br />Understand MS POWER BI terminology and interface. 	 
						</p>
						</div>
					   <div>
							<strong> Visuals:  </strong>  
							<p>  
								Creating visuals, 
								<br />Chart types, 
								<br />Geographic maps, 
								<br />Heat maps, 
								<br />Tree maps, 
								<br />Pie charts, 
								<br />bar charts and many other types of charts, 
								<br />Importing custom designs and custom chart types. 
								<br />Choosing suitable chart types. 
								<br />Single measures, multiple measure, 
								<br />double axes, displaying dates, drilldown, sorting visuals. 
								<br />Analysis Lines. 
								<br />Filters and slicers. 
							</p>
						</div>	
						<div>
							<strong> Formatting:  </strong>  
							<p>   
							Formatting visuals. 
							</p>
						</div>	
								 
						<div>
							<strong> Working with the data:  </strong>  
							<p>  
								Preparing data using queries.
								<br />Calculations: Create calculated columns and measures. 
								<br />Columns vs Measures. 
								<br />Quick Measures.  
							</p>
						</div>	
						<div>
							<strong> Functions:  </strong>  
							<p>  Built-in Functions for dates, maths and strings. 
								 
							</p>
						</div>
						<div>
							<strong> DAX calculations:  </strong>  
							<p>  Relationships 
								<br />DAX calculations.
								 
							</p>
						</div>		
						<div>
							<strong> Final presentation:  </strong>  
							<p>  
								Final presentation: Reports, publish reports, create dashboards
							</p>
						</div>	
 
 
 
 
	               </div>
	               <div id="cincluded">
	                  <div>
	                     <h5>What is included in the MS Power BI Courses:</h5>
	                  </div>
	                  <div>
	                     <ul>
	                        <li>MS Power BI Course Certificate on completion  </li>
	                        <li>MS Power BI Course notes</li>
	                        <li>Practical MS Power BI Course exercises, MS Power BI Course Homework / MS Power BI Course Revision work</li>
	                         
	                        <li>After the course, 1 free session for questions online MS Power BI Course via Gotomeeting.com.</li>
	                        <li>Max group size, online and in classroom, on this MS Power BI Course is 4. </li>
	                     </ul>
	                  </div>
	               </div>

MS Power BI Course 
 Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations
This course is ideal for managers and data analysts who need to make business decisions based on data. 

The course duration is 1 day. 
MS Power BI 1-day Course Description
Introduction:
 Connect to your data source and various data sources. 
Understand MS POWER BI terminology and interface. 
Visuals:
 Creating visuals, 
Chart types, 
Geographic maps, 
Heat maps, 
Tree maps, 
Pie charts, 
bar charts and many other types of charts, 
Importing custom designs and custom chart types. 
Choosing suitable chart types. 
Single measures, multiple measure, 
double axes, displaying dates, drilldown, sorting visuals. 
Analysis Lines. 
Filters and slicers. 
Formatting:
 Formatting visuals. 
Working with the data:
 Preparing data using queries. 
Calculations: Create calculated columns and measures. 
Columns vs. Measures. 
Quick Measures. 
Functions:
 Built-in functions for dates, math, and strings. 
DAX calculations:
 Relationships 
DAX calculations. 
Final presentation:
 Final presentation: Reports, publish reports, create dashboards 
What is included in the MS Power BI Courses:
MS Power BI Course Certificate on completion
MS Power BI Course notes
Practical MS Power BI Course exercises, MS Power BI Course homework, and MS Power BI Course Revision work
After the course, 1 free session for questions online MS Power BI Course via Gotomeeting.com.
Max group size, online and in classroom, on this MS Power BI Course is 4.

Microsoft Power BI

Data Science

Data Visualization

Business Intelligence (BI)

Data Analyst

 Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations
This course is ideal for managers and data analysts who need to make business decisions based on data.

MS POWER BI COURSE

General admission

<article>
<div>
<h5>Python Data Analytics Course</h5>
</div>
<div></div>
<p>  						 
	</p><div>
	<ul>
		
<div>
    <div id="widget-reviews"><div><h3>Python Beginners Course</h3><div><span></span><span></span><span></span><span></span><span></span><div>(4.6)</div></div><span></span><br /><div>Based on 5 reviews</div><div><div><div id="previous"><i></i></div><div id="currentReview"><div> Excellent course, led by a knowledg</div><div> Excellent course, led by a knowledgeable and engaging instructor. I attended ...</div><div> Helen S</div></div><div id="next"><i></i></div></div></div></div></div>
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</div>

		<p>
		<b>Python Data Course. </b>Data Analytics with Python using Numpy, Pandas, Dataframes. 
		<br />Most attendees are in-work Data Professional.
		<br />Private individuals are very welcome. 
		<br /><b>Our Style: </b>Hands-on, Practical  
		<br /><b>Location:  </b>Online, Instructor-led  
		<br /><b>Download:  </b>anaconda.com
		<br /><b>Duration:  </b>2 consecutive days, 10am - 5pm
		<br /><b>Times: </b>arrange a time for your time zone
	    </p>
	</ul>	

<p></p>
</div></article>

<div>
	  <div>
			<h5>Python Data Analytics Course </h5>
	  </div>
	  <div></div>
	  <p>  
	  <br /> 
	  </p>
	<div>
	<h5>Session 1: Database: </h5>
	</div>
	<div></div>
	<div> 
					<p>  <strong>SQLite3:</strong>  
					<br /> Linking with SQL Database.
					<br /> Create, Amend and Drop Tables.
					<br /> Insert, Update and delete records.
					<br /> Select queries.
					<br /> Traverse and display query results.
					<br /> Using parameters in queries.
					<br /> Get metadata about tables and columns. 
					</p> 
			</div>
	<div>
	<h5>Session 2: Data Structures</h5>
	</div> <div></div>
	<div> 
				<p> <strong>Data Structures:</strong>  
					<br />Tuples.
					<br />Sets.
					<br />Dictionary. Nested Dictionary.
					<br />Json Files.
				</p>
			</div>
	<div>
	<h5>Session 3: Python Numpy</h5>
	</div> <div></div>
	<div> 
				<p>  <strong>Numpy:</strong>  
				<br />The Python NumPy Module:
				<br />Working with arrays, create data using arrays.
				<br />Array manipulation.
				<br />String functions on arrays. 
				<br />Math, arithmetic and statistical functions.
				
				</p>
			</div>
	<div>
	<h5>Session 4: Python Pandas Dataframes and data importing</h5>
	</div> <div></div>
	<div>
		<p>  <strong>Python Dataframes</strong>  
		<br /> Data Series. Date/ Time Functionality. Time series.
		<br /> Creating Dataframes, Indexing. 
		<br />Dict to Dataframe, Dataframe to Dict.
		<br />Csv to Dataframe, Dataframe to csv.
		<br />Excel to Dataframe, Dataframe to Excel.
		</p>
	</div>

	<div>
	<h5>Session 5: Data Cleaning and preparation</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Cleaning and preparation</strong>  
		<br />Finding, replacing and filtering missing data.
		<br />Remove Duplicates.
		<br />Replacing values.
		<br />Renaming Axis Indexes.
		</p>
	</div>
	
	<div>
	<h5>Session 6: Pandas Data Wrangling</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Wrangling:</strong>   
		
		<br />Indexing, Re-indexing, 
		<br />Reorder, 
		<br />Sorting, Stastitics, 
			<br />Transforming data using  
		<br />Dataframe Joins, Merging, Concatenation, Overlap, Append, zip. 
		 
		</p>
	</div>
	
	<div>
	<h5>Week 6: Pandas Data Analysis</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Analysis:</strong>   
		<br /> Sorting. 
		<br /> Analysing and finding data using filter, slicing and dataframe queries. 
		<br /> Finding data by Iteration.
		<br /> Find statistics: Functions, Aggregate functions. 
		<br /> Unique values.
		<br />String objects, Regex. 
		</p>
	</div>
</div>
 

<div>   

	   <div id="cincluded">
		  <div>
			 <h5>Included with the Python Course</h5>
		  </div>

		  <article>
		  <div>
			 <ul>
				<li>PCWorkshops Course Certificate on completion  </li>
									   
				<li>Python Course Notes</li>
				<li>Python Code Examples</li>
				<li>Practical Python Course exercises and Code Samples</li>
				<li>After the course: 1-Hour personalised online revision session</li>
			 </ul>
		  </div>
		  </article>
	   </div>
				    
<div>
	                  <div>
	                     <h5 id="cincluded2">Book the Python Course</h5>
	                  </div>
 
	 
		<div id="eventbrite-widget-container-48025096356"></div>
		
		  		
					
					 
</div>
				   <div id="caboutus">
	                  <div>
	                     <h5>About us</h5>
	                  </div> 
	                  	<article>
					    <div>
					    	<div>
					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
										<li>
											More about us
										</li>
										<li>
											FAQ's
										</li>
										<li>
											Client Comments  
										</li>
									 </ul>
					    		</div>
					    		<div>
					    			
					    				
					    			
					    		</div>
					    	</div>
	                     
					    </div>
					    </article>						
	               </div>
				   
				   
	        </div>

Python Data Analytics Course

Python Data Analytics with Python using 
Numpy, 
Pandas, Dataframes. 

Most attendees are in-work Data Professional.  Private individuals are very welcome. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 
Download: anaconda.com 
Duration: 1 consecutive day, 11am-5pm
Dates Times: You may let us know which dates your would prefer, or attend as scheduled

Python Data Analytics Course Description
  
Session 1: Database:
 SQLite3: 
 Linking with SQL Database. 
 Create, Amend and Drop Tables. 
 Insert, Update and delete records. 
 Select queries. 
 Traverse and display query results. 
 Using parameters in queries. 
 Get metadata about tables and columns. 
Session 2: Data Structures
 Data Structures: 
Tuples. 
Sets. 
Dictionary. Nested Dictionary. 
Json Files. 
Session 3: Python Numpy
 Numpy: 
The Python NumPy Module: 
Working with arrays, create data using arrays. 
Array manipulation. 
String functions on arrays. 
Math, arithmetic and statistical functions. 
Session 4: Python Pandas Dataframes and data importing
 Python Dataframes 
 Data Series. Date/ Time Functionality. Time series. 
 Creating Dataframes, Indexing. 
Dict to Dataframe, Dataframe to Dict. 
Csv to Dataframe, Dataframe to csv. 
Excel to Dataframe, Dataframe to Excel. 
Session 5: Data Cleaning and preparation
 Data Cleaning and preparation 
Finding, replacing and filtering missing data. 
Remove Duplicates. 
Replacing values. 
Renaming Axis Indexes. 
Session 6: Pandas Data Wrangling
 Data Wrangling: 
Indexing, Re-indexing, 
Reorder, 
Sorting, Stastitics, 
Transforming data using 
Dataframe Joins, Merging, Concatenation, Overlap, Append, zip. 
Week 6: Pandas Data Analysis
 Data Analysis: 
 Sorting. 
 Analysing and finding data using filter, slicing and dataframe queries. 
 Finding data by Iteration. 
 Find statistics: Functions, Aggregate functions. 
 Unique values. 
String objects, Regex. 
Included with the Python Course
PCWorkshops Course Certificate on completion
Python Course Notes
Python Code Examples
Practical Python Course exercises and Code Samples
After the course: 1-Hour personalised online revision session
 

Pandas

Python Data Analytics with Python using 



Numpy, 




Pandas, Dataframes. 





Most attendees are in-work Data Professional.  Private individuals are very welcome. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 



Python Data Analytics Course

<article>
					<div>
						<h5>Python Unittest Course Summary.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br />Testing plays a major role in software development. 
						<br />This course will explain Python Unit Testing using the unittest built-in module. 
						
						<br />We'll cover issues before going to the production itself and the basics of testing in Python. 
						 
						 
						<br /><b>Location: </b>Instructor-led, Online.
						<br /><b>Our Style: </b>Hands-on, Practical Course.
						<br /><b>Group Size: </b>Max 4 people per group.  
						<br /><b>Qualification: </b>PCWorkshops Unittest Certification
						<br /><b>Duration: </b>1-Day, 10am-5pm
						
				  	</p>
	    		</article> 

	<div>  
				    <div id="cincluded">
	                    <div>
							<h5>Unittest topics </h5>
	                    </div> 
							<br />UnitTest Framework - Home
							<br />UnitTest Framework - Overview
							<br />UnitTest - Framework
							<br />UnitTest - API
							<br />UnitTest - Assertion
							<br />UnitTest - Test Discovery
							<br />UnitTest - Skip Test
							<br />UnitTest - Exceptions Test
							<br />UnitTest - Time Test
							<br />UnitTest - Unittest2
							<br />UnitTest - Signal Handling
							<br />UnitTest - Doctest
							<br />UnitTest - Doctest API
							<br />UnitTest - Py.test Module
							<br />Nose Testing - Framework
							<br />Nose Testing - Tools
	                </div>
	    <div></div>
		 
	               <div id="cincluded">
	                  <div>
	                     <h5>Included with Python Unittest Course</h5>
	                  </div>

	                  <article>
	                  <div>
	                     <ul>
	                        <li>Python Unittest Certificate on completion  </li>
							<li>Python Unittest Videos</li>	                       
						    <li>Python Unittest Notes</li>
							<li>Python Unittest Examples</li>
	                        <li>Practical Python Unittest exercises</li>
	                        
	                     </ul>
	                  </div>
	                  </article>
	               </div>
				    
				   <div id="booking">
	                  <div>
	                     <h5>Book Unittest Course</h5>
	                  </div>
							 
 							
											<div>
											
											Powered by Eventbrite
											</div>
							 
	               </div>
				   <div id="cincluded">
	                  <div>
	                     <h5>About us</h5>
	                  </div> 
	                  	<article>
					    <div>
					    	<div>
					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
										<li>
											More about us
										</li>
										<li>
											FAQ's
										</li>
										<li>
											Client Comments  
										</li>
									 </ul>
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					    		</div>
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					    </div>
					    </article>						
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	    </div>

Python Unittest Course Summary.
   
Testing plays a major role in software development. 
This course will explain Python Unit Testing using the unittest built-in module. 
We'll cover issues before going to the production itself and the basics of testing in Python. 
Location: Instructor-led, Online. 
Our Style: Hands-on, Practical Course. 
Group Size: Max 4 people per group. 
Qualification: PCWorkshops Unittest Certification 
Duration: 1-Day, 10am-5pm 
Unittest topics  
UnitTest Framework - Home 
UnitTest Framework - Overview 
UnitTest - Framework 
UnitTest - API 
UnitTest - Assertion 
UnitTest - Test Discovery 
UnitTest - Skip Test 
UnitTest - Exceptions Test 
UnitTest - Time Test 
UnitTest - Unittest2 
UnitTest - Signal Handling 
UnitTest - Doctest 
UnitTest - Doctest API 
UnitTest - Py.test Module 
Nose Testing - Framework 
Nose Testing - Tools
Included with Python Unittest Course
Python Unittest Certificate on completion
Python Unittest Videos
Python Unittest Notes
Python Unittest Examples
Practical Python Unittest exercises
 
 


Software Testing & QA

Unit Testing

Instructor

Python Unittest Course

Loughborough

<div>
		

		<div>
			
			<p>This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.</p>
			<div><i></i> 5 Days - 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
		</div>
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		<h3>Description</h3>
		<p></p><p>For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives: </h3>
<p>In this course, you will implement data science techniques in order to address business issues. You will:</p>
<p>• Use data science principles to address business issues. <br />• Apply the extract, transform, and load (ETL) process to prepare datasets. <br />• Use multiple techniques to analyze data and extract valuable insights. <br />• Design a machine learning approach to address business issues. <br />• Train, tune, and evaluate classification models. <br />• Train, tune, and evaluate regression and forecasting models. <br />• Train, tune, and evaluate clustering models. <br />• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.  However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. </p>
<p>Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.  This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.</p>
<p>You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.</p>
<p>In addition to programming, you should also have experience working with databases, including querying languages like SQL. </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Lesson 1: Addressing Business Issues with Data Science</h4>
<div>
<p>Topic A: Initiate a Data Science Project<br />Topic B: Formulate a Data Science Problem</p>
<h4>Lesson 2: Extracting, Transforming, and Loading Data</h4>
<p>Topic A: Extract Data <br />Topic B: Transform Data <br />Topic C: Load Data</p>
<h4>Lesson 3: Analyzing Data</h4>
<p>Topic A: Examine Data<br />Topic B: Explore the Underlying Distribution of Data <br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Preprocess Data</p>
<h4>Lesson 4: Designing a Machine Learning Approach</h4>
<p>Topic A: Identify Machine Learning Concepts<br />Topic B: Test a Hypothesis</p>
</div>
<h4>Lesson 5: Developing Classification Models</h4>
<p>Topic A: Train and Tune Classification Models <br />Topic B: Evaluate Classification Models</p>
<h4>Lesson 6: Developing Regression Models</h4>
<p>Topic A: Train and Tune Regression Models <br />Topic B: Evaluate Regression Models</p>
<h4>Lesson 7: Developing Clustering Models</h4>
<p>Topic A: Train and Tune Clustering Models <br />Topic B: Evaluate Clustering Models</p>
<h4>Lesson 8: Finalizing a Data Science Project</h4>
<p>Topic A: Communicate Results to Stakeholders <br />Topic B: Demonstrate Models in a Web App <br />Topic C: Implement and Test Production Pipelines</p>
<p></p>

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.
5 Days - 1 Exam £595.00 incl. VAT
Want to run this event in-house? Enquire about running this event in-house 
Interested in attending? Have a suggestion about running this event near you?
Register your interest now
Description

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.
Course Objectives: 
In this course, you will implement data science techniques in order to address business issues. You will:
• Use data science principles to address business issues. 
• Apply the extract, transform, and load (ETL) process to prepare datasets. 
• Use multiple techniques to analyze data and extract valuable insights. 
• Design a machine learning approach to address business issues. 
• Train, tune, and evaluate classification models. 
• Train, tune, and evaluate regression and forecasting models. 
• Train, tune, and evaluate clustering models. 
• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

Target Student

This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. 
Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.

Prerequisites

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.
In addition to programming, you should also have experience working with databases, including querying languages like SQL. 

Modules/Lessons

Lesson 1: Addressing Business Issues with Data Science
Topic A: Initiate a Data Science Project
Topic B: Formulate a Data Science Problem
Lesson 2: Extracting, Transforming, and Loading Data
Topic A: Extract Data 
Topic B: Transform Data 
Topic C: Load Data
Lesson 3: Analyzing Data
Topic A: Examine Data
Topic B: Explore the Underlying Distribution of Data 
Topic C: Use Visualizations to Analyze Data
Topic D: Preprocess Data
Lesson 4: Designing a Machine Learning Approach
Topic A: Identify Machine Learning Concepts
Topic B: Test a Hypothesis
Lesson 5: Developing Classification Models
Topic A: Train and Tune Classification Models 
Topic B: Evaluate Classification Models
Lesson 6: Developing Regression Models
Topic A: Train and Tune Regression Models 
Topic B: Evaluate Regression Models
Lesson 7: Developing Clustering Models
Topic A: Train and Tune Clustering Models 
Topic B: Evaluate Clustering Models
Lesson 8: Finalizing a Data Science Project
Topic A: Communicate Results to Stakeholders 
Topic B: Demonstrate Models in a Web App 
Topic C: Implement and Test Production Pipelines


Mpi Learning - Professional Learning And Development Provider

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Certified Data Science Practitioner

<strong>This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.</strong>
        <p>This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework. If you don't have a programming background, this course will help you create custom analytic tools in the browser by taking you through the core concepts of pandas, NumPy, Matplotlib, and Seaborn. With a step-by-step introduction to new concepts, this Django course will gradually help you get to grips with the essentials of data science.
The code bundle for this course available at https://github.com/PacktPublishing/Django-with-Data-Science</p>
        <h2>What You Will Learn</h2><p>Understand the integration of Django and Python data science libraries: pandas, Matplotlib, Seaborn, and NumPy<br>Populate the database from CSV files<br>Explore the Semantic UI framework<br>Get to grips with the basics of data science</p>
        <h2>Audience</h2><p>If you are a developer looking to dive into the world of data science with Django, this course is for you.</p>
        <h2>Approach</h2><p>A good resource for beginners with a programming mindset, this course explains each concept in a precise and easy-to-understand way. The instructor takes you through the content systematically to help you make the most of the topics covered.</p>
        <h2>Key Features</h2><p>Work with Django forms and model forms * Create a modal with price statistics * Transform the database and populate rows of the .csv file with sales data</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/django-with-data-science</p>
        <h2>About the Author</h2><h3>Lukasz Makinia</h3><p>Lukasz Makinia is a freelance web developer and a Lean Sigma Six Black Belt. From the beginning of his 8-year professional career, he's related to the field of continuous improvement by providing IT and Lean Management solutions to medium and large companies. He also creates web applications mainly for data gathering and processing using Python/Django, JavaScript, React, and ML. In his free time, Luke writes articles for his blog-PyPlane.

He is associated with 'Django Ninjas'-a web framework for building APIs with Django and Python 3.6+ type hints. They provide online educational courses mainly about Python/Django by the community of web developers across the globe. Their classes are project-based only, which means 'teaching by doing'.</p>
        <h2>Course Outline</h2><h4>1. Django Project</h4><p></p><br><h4>2. Python Data Science Libraries [Optional]</h4><p></p><br><h4>3. Field Types in Django [OPTIONAL]</h4><p></p>

This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.
This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework. If you don't have a programming background, this course will help you create custom analytic tools in the browser by taking you through the core concepts of pandas, NumPy, Matplotlib, and Seaborn. With a step-by-step introduction to new concepts, this Django course will gradually help you get to grips with the essentials of data science.
The code bundle for this course available at https://github.com/PacktPublishing/Django-with-Data-Science
What You Will Learn
Understand the integration of Django and Python data science libraries: pandas, Matplotlib, Seaborn, and NumPy
Populate the database from CSV files
Explore the Semantic UI framework
Get to grips with the basics of data science
Audience
If you are a developer looking to dive into the world of data science with Django, this course is for you.
Approach
A good resource for beginners with a programming mindset, this course explains each concept in a precise and easy-to-understand way. The instructor takes you through the content systematically to help you make the most of the topics covered.
Key Features
Work with Django forms and model forms * Create a modal with price statistics * Transform the database and populate rows of the .csv file with sales data
Github Repo
https://github.com/packtpublishing/django-with-data-science
About the Author
Lukasz Makinia
Lukasz Makinia is a freelance web developer and a Lean Sigma Six Black Belt. From the beginning of his 8-year professional career, he's related to the field of continuous improvement by providing IT and Lean Management solutions to medium and large companies. He also creates web applications mainly for data gathering and processing using Python/Django, JavaScript, React, and ML. In his free time, Luke writes articles for his blog-PyPlane. He is associated with 'Django Ninjas'-a web framework for building APIs with Django and Python 3.6+ type hints. They provide online educational courses mainly about Python/Django by the community of web developers across the globe. Their classes are project-based only, which means 'teaching by doing'.
Course Outline
1. Django Project

2. Python Data Science Libraries [Optional]

3. Field Types in Django [OPTIONAL]


This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.

Django with Data Science

<p><strong>***Don't Spend More; Spend Smart with This 14 in 1 Data Science Bundle***</strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Data Science Bundle Now</strong></p><p>Tired of browsing and searching for the Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry, as you have just found the solution. Take a minute and look through this 14-in-1 extensive Data Science bundle that has everything you need to succeed in <strong>Data Science </strong>and other relevant fields!</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one <strong>Data Science </strong>bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your Data Science skills and prepare you for the competitive job market.</p><p>Furthermore, to help you showcase your expertise in <strong>Data Science, </strong> we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Data Science Bundle Consists of the following Premium courses: </strong></p><ul><li><strong>Course 01: </strong>Data Analysis</li><li><strong>Course 02: </strong>Data Science &amp; Machine Learning with Python</li><li><strong>Course 03: </strong>R Programming for Data Science</li><li><strong>Course 04: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong>Course 06: </strong>Excel Data Analysis for Beginner</li><li><strong>Course 07: </strong>Introduction to Data Analysis</li><li><strong>Course 08: </strong>Data Analysis in Excel Level 3 Course</li><li><strong>Course 09: </strong>Google Data Studio: Data Analytics</li><li><strong>Course 10: </strong>Data Center Training Essentials: General Introduction</li><li><strong>Course 11: </strong>SQL Programming Masterclass</li><li><strong>Course 12: </strong>Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong>Course 13: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong>Course 14: </strong>GDPR Data Protection Level 5</li></ul><p>So enrol now in this Data science bundle to kick-start/ advance your career!</p><p>Curriculum of <strong>Data Science Bundle</strong></p><p><strong>Data Science with Python</strong></p><ul><li>Introduction to Python Data Science</li><li>Data Cleaning Packages</li><li>Data Visualization packages</li></ul><p><strong>How will I get my Data Science Certificate?</strong></p><p>After successfully completing the <strong>Data Science </strong>course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        145 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this <strong>Data Science </strong>bundle including;</p><ul><li>Administrator</li><li>&amp; Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our <strong>Data science</strong>course is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this <strong>Data science </strong>expertise will increase the value of your CV and open you up to multiple job sectors. Explore</p><ul><li>Data Science<br /><ul><li>Administrator</li><li>Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul></li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course (<strong>Data Science with Python</strong>) absolutely Free! </p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Data Science with Python</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

***Don't Spend More; Spend Smart with This 14 in 1 Data Science Bundle***
Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Data Science Bundle Now
Tired of browsing and searching for the Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry, as you have just found the solution. Take a minute and look through this 14-in-1 extensive Data Science bundle that has everything you need to succeed in Data Science and other relevant fields!
After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your Data Science skills and prepare you for the competitive job market.
Furthermore, to help you showcase your expertise in Data Science,  we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.
This Data Science Bundle Consists of the following Premium courses: 
Course 01: Data Analysis
Course 02: Data Science & Machine Learning with Python
Course 03: R Programming for Data Science
Course 04: Statistics & Probability for Data Science & Machine Learning
Course 05: Complete Google Analytics Course
Course 06: Excel Data Analysis for Beginner
Course 07: Introduction to Data Analysis
Course 08: Data Analysis in Excel Level 3 Course
Course 09: Google Data Studio: Data Analytics
Course 10: Data Center Training Essentials: General Introduction
Course 11: SQL Programming Masterclass
Course 12: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4
Course 13: Learn to Use Python for Spatial Analysis in ArcGIS
Course 14: GDPR Data Protection Level 5
So enrol now in this Data science bundle to kick-start/ advance your career!
Curriculum of Data Science Bundle
Data Science with Python
Introduction to Python Data Science
Data Cleaning Packages
Data Visualization packages
How will I get my Data Science Certificate?
After successfully completing the Data Science course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (For The Title Course)
Hard Copy Certificate: Free (For The Title Course)
 CPD 
145 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Science bundle including;
Administrator
& Data Analyst
Architect
Cabler
Manager
Centre Manager
 Requirements 
Our Data sciencecourse is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices.
 Career path 
Having this Data science expertise will increase the value of your CV and open you up to multiple job sectors. Explore
Data Science
AdministratorData AnalystArchitectCablerManagerCentre Manager
 Certificates 
Certificate of completion
 Digital certificate - Included 
You will get the PDF Certificate for the title course (Data Science with Python) absolutely Free! 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (Data Science with Python) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Apex Learning

Data Science - CPD Accredited

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					<div><p>Python has steadily ascended the ranks in the tech world, becoming the go-to language for Data Science and Machine Learning pursuits. Its versatility and ease of use make it an optimal choice for those aspiring to delve into the intricate realms of data analysis and algorithm development. By integrating Python into the curriculum, this course ensures that learners are not only familiar with the language but also proficient in its application to Data Science and Machine Learning tasks.</p><p>Data Science, on the other hand, stands as the backbone of today's analytical advancements. With the ever-growing quantum of data, there's a dire need for professionals who can sift through this data deluge and extract meaningful insights. This course simplifies complex topics, making it easier for learners to grasp the intricate mechanics of data manipulation, processing, and analysis. By emphasizing Python's role in Data Science, the course underscores its significance in modern-day data operations.</p><p>Lastly, Machine Learning represents the pinnacle of automated data analysis. With the power of Python and the methodologies of Data Science, Machine Learning enables systems to learn from data and make decisions. This course elucidates these concepts, teaching learners to design, implement, and test Machine Learning algorithms. The synergy of Python, Data Science, and Machine Learning in this curriculum ensures that, by the end, learners are well-equipped to tackle any data challenge that comes their way.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Acquire in-depth knowledge of Data Science techniques using Python.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Understand and implement Machine Learning algorithms.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Analyze and visualize data with Python libraries like Pandas and Matplotlib.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Evaluate and compare Machine Learning algorithms for optimum results.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Develop real-time prediction models using trained datasets.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
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			</div>
		</section>
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			</div>
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			</div>
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		</section>
				<section>
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				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Stay ahead in the rapidly growing field of Data Science and Machine Learning.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Enhance career opportunities in the tech and data sectors.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn to use Python, a leading programming language in Data Science.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Address real-world business challenges using data analysis.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Achieve proficiency in handling and visualizing large datasets.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
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			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Data Scientist</span>
									</li>
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											<span>
													</span>
										<span>Machine Learning Engineer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Python Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Predictive Modeler</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Visualization Expert</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
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			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Basic understanding of programming concepts.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Eagerness to learn Data Science and Machine Learning.</span>
									</li>
								<li>
											<span>
													</span>
										<span>A computer with internet access.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>

Python has steadily ascended the ranks in the tech world, becoming the go-to language for Data Science and Machine Learning pursuits. Its versatility and ease of use make it an optimal choice for those aspiring to delve into the intricate realms of data analysis and algorithm development. By integrating Python into the curriculum, this course ensures that learners are not only familiar with the language but also proficient in its application to Data Science and Machine Learning tasks.
Data Science, on the other hand, stands as the backbone of today's analytical advancements. With the ever-growing quantum of data, there's a dire need for professionals who can sift through this data deluge and extract meaningful insights. This course simplifies complex topics, making it easier for learners to grasp the intricate mechanics of data manipulation, processing, and analysis. By emphasizing Python's role in Data Science, the course underscores its significance in modern-day data operations.
Lastly, Machine Learning represents the pinnacle of automated data analysis. With the power of Python and the methodologies of Data Science, Machine Learning enables systems to learn from data and make decisions. This course elucidates these concepts, teaching learners to design, implement, and test Machine Learning algorithms. The synergy of Python, Data Science, and Machine Learning in this curriculum ensures that, by the end, learners are well-equipped to tackle any data challenge that comes their way.
 Learning outcome
Acquire in-depth knowledge of Data Science techniques using Python.
Understand and implement Machine Learning algorithms.
Analyze and visualize data with Python libraries like Pandas and Matplotlib.
Evaluate and compare Machine Learning algorithms for optimum results.
Develop real-time prediction models using trained datasets.
 Why should I take this course?
Stay ahead in the rapidly growing field of Data Science and Machine Learning.
Enhance career opportunities in the tech and data sectors.
Learn to use Python, a leading programming language in Data Science.
Address real-world business challenges using data analysis.
Achieve proficiency in handling and visualizing large datasets.
 Career Path
Data Scientist
Machine Learning Engineer
Python Data Analyst
Predictive Modeler
Data Visualization Expert
 Requirements
Basic understanding of programming concepts.
Eagerness to learn Data Science and Machine Learning.
A computer with internet access.

Master Data Science and Machine Learning with Python to transform data-driven decisions in businesses.

Data Science & Machine Learning with Python

<strong>This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.</strong>
        <p>There is an ever-increasing demand for storing different types of data in organizations. Be it a small or big organization, employers want to keep records of their employees, customers, accounts, feedback, and so on. However, maintaining such an enormous collection of data is not possible without the help of data science. This video course will help you to learn the important concepts and theories of applied data science that you need to know to store, manipulate, and visualize huge chunks of data.

The course starts with an introduction to applied data science and a tutorial on how to set up a Jupyter notebook. You'll then go on to understand linear regression using Boston data. As you advance, you'll discover data visualization techniques and explore time series and data evaluation. You'll also get to grips with extended data analysis with the help of a temperature analysis activity. Toward the end, you'll be introduced to k-means clustering and gain a solid understanding of decision trees.

By the end of this course, you'll be well-versed with applied data science concepts and be able to apply your skills in the real world.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Projects-in-Data-Science</p>
        <h2>What You Will Learn</h2><p>Gain a solid understanding of applied data science<br>Get to grips with extended data analysis using an example data set<br>Find out how to perform linear and logistic regression<br>Become familiar with scattered and advanced scattered plot<br>Develop skills to plot time-series data<br>Explore k-means clustering and define centroids for clustering</p>
        <h2>Audience</h2><p>If you are a data science enthusiast who wants to develop your skills to effectively maintain your organization's data, then this video course is for you.</p>
        <h2>Approach</h2><p>Using detailed explanations, coding exercises, and activities, this video course helps you to get up and running with applied data science concepts.</p>
        <h2>Key Features</h2><p>Understand applied data science concepts with the help of engaging activities * Get to grips with data visualization, plotting, and clustering techniques * Discover how to make the best use of decision trees</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Projects-in-Data-Science</p>
        <h2>About the Author</h2><h3>Eduonix Learning Solutions</h3><p>Eduonix learning Solutions is a premier training and skill development organization which was started with a vision to bring world class training content, pedagogy and best learning practices to everyone's doorsteps . Eduonix aims to identify and provide the best learning and training environment. It identifies industry veterans and content creators around the globe and bring it to the global audience using number of intuitive platforms for easy and affordable access to quality content. Eduonix offers easy to understand online courses and workshops for everyday people. If you have ever wanted to learn a new skill, but don't want to attend four years of college to do it, we have a solution for you.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Extended Data Analysis</h4><p></p><br><h4>3. Regression</h4><p></p><br><h4>4. Data Visualization</h4><p></p><br><h4>5. Activity</h4><p></p><br><h4>6. Time Series</h4><p></p><br><h4>7. K-Means Clustering</h4><p></p><br><h4>8. Decision Tree</h4><p></p>

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.
There is an ever-increasing demand for storing different types of data in organizations. Be it a small or big organization, employers want to keep records of their employees, customers, accounts, feedback, and so on. However, maintaining such an enormous collection of data is not possible without the help of data science. This video course will help you to learn the important concepts and theories of applied data science that you need to know to store, manipulate, and visualize huge chunks of data. The course starts with an introduction to applied data science and a tutorial on how to set up a Jupyter notebook. You'll then go on to understand linear regression using Boston data. As you advance, you'll discover data visualization techniques and explore time series and data evaluation. You'll also get to grips with extended data analysis with the help of a temperature analysis activity. Toward the end, you'll be introduced to k-means clustering and gain a solid understanding of decision trees. By the end of this course, you'll be well-versed with applied data science concepts and be able to apply your skills in the real world. All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Projects-in-Data-Science
What You Will Learn
Gain a solid understanding of applied data science
Get to grips with extended data analysis using an example data set
Find out how to perform linear and logistic regression
Become familiar with scattered and advanced scattered plot
Develop skills to plot time-series data
Explore k-means clustering and define centroids for clustering
Audience
If you are a data science enthusiast who wants to develop your skills to effectively maintain your organization's data, then this video course is for you.
Approach
Using detailed explanations, coding exercises, and activities, this video course helps you to get up and running with applied data science concepts.
Key Features
Understand applied data science concepts with the help of engaging activities * Get to grips with data visualization, plotting, and clustering techniques * Discover how to make the best use of decision trees
Github Repo
https://github.com/PacktPublishing/Projects-in-Data-Science
About the Author
Eduonix Learning Solutions
Eduonix learning Solutions is a premier training and skill development organization which was started with a vision to bring world class training content, pedagogy and best learning practices to everyone's doorsteps . Eduonix aims to identify and provide the best learning and training environment. It identifies industry veterans and content creators around the globe and bring it to the global audience using number of intuitive platforms for easy and affordable access to quality content. Eduonix offers easy to understand online courses and workshops for everyday people. If you have ever wanted to learn a new skill, but don't want to attend four years of college to do it, we have a solution for you.
Course Outline
1. Introduction

2. Extended Data Analysis

3. Regression

4. Data Visualization

5. Activity

6. Time Series

7. K-Means Clustering

8. Decision Tree


Data Analysis

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.

Projects in Data Science

<div>
		

		<div>
			
			<p>The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.</p>
			<div><i></i> 120 minutes</div>
			<div><i></i>  £50.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><p>The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve and expand the success of the business.</p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4><span><strong>Lesson 1:</strong> Data Science Fundamentals</span></h4>
<p>Topic A: What is Data Science?<br />Topic B: Types of Data<br />Topic C: The Data Science Lifecycle</p>
<h4><span><strong>Lesson 2:</strong> Data Science Implementation</span></h4>
<p>Topic A: Data Acquisition and Preparation<br />Topic B: Data Modeling and Visualization<br />Topic C: Data Science Roles</p>
<h4><span><strong>Lesson 3:</strong> The Impact of Data Science</span></h4>
<p>Topic A: Benefits of Data Science<br />Topic B: Challenges of Data Science<br />Topic C: Business Use Cases for Data Science</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business leaders and decision-makers, including C-level executives, project managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who want to increase their knowledge of and familiarity with concepts surrounding data science. Other individuals who want to know more about basic data science concepts are also candidates for this course.</p>
<p></p>

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.
120 minutes £50.00 incl. VAT
Want to run this event in-house? Enquire about running this event in-house 
Interested in attending? Have a suggestion about running this event near you?
Register your interest now
Description

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve and expand the success of the business.

Modules/Lessons

Lesson 1: Data Science Fundamentals
Topic A: What is Data Science?
Topic B: Types of Data
Topic C: The Data Science Lifecycle
Lesson 2: Data Science Implementation
Topic A: Data Acquisition and Preparation
Topic B: Data Modeling and Visualization
Topic C: Data Science Roles
Lesson 3: The Impact of Data Science
Topic A: Benefits of Data Science
Topic B: Challenges of Data Science
Topic C: Business Use Cases for Data Science

Target Student

This course is designed for business leaders and decision-makers, including C-level executives, project managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who want to increase their knowledge of and familiarity with concepts surrounding data science. Other individuals who want to know more about basic data science concepts are also candidates for this course.


The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.

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