Name: Welding Training
Price: 25 GBP
Availability: InStock

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<h2 fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Overview</h2></div>
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<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Basic Data Analysis Course is yet another &#39;Teacher&#39;s Choice&#39; course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Basic Data Analysis Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Consisting of several modules, the course teaches you everything you need to succeed in this profession.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.</p><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;"><span style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;">Basic Data Analysis&nbsp;Course Curriculum<br fr-original-style="" style="box-sizing: border-box;"></span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Module 01: Introduction</li><li fr-original-style="" style="box-sizing: border-box;">Module 02: Agenda and Principles of Process Management</li><li fr-original-style="" style="box-sizing: border-box;">Module 03: The Voice of the Process</li><li fr-original-style="" style="box-sizing: border-box;">Module 04: Working as One Team for Improvement</li><li fr-original-style="" style="box-sizing: border-box;">Module 05: Exercise: The Voice of the Customer</li><li fr-original-style="" style="box-sizing: border-box;">Module 06: Tools for Data Analysis</li><li fr-original-style="" style="box-sizing: border-box;">Module 07: The Pareto Chart</li><li fr-original-style="" style="box-sizing: border-box;">Module 08: The Histogram</li><li fr-original-style="" style="box-sizing: border-box;">Module 09: The Run Chart</li><li fr-original-style="" style="box-sizing: border-box;">Module 10: Exercise: Presenting Performance Data</li><li fr-original-style="" style="box-sizing: border-box;">Module 11: Understanding Variation</li><li fr-original-style="" style="box-sizing: border-box;">Module 12: The Control Chart</li><li fr-original-style="" style="box-sizing: border-box;">Module 13: Control Chart Example</li><li fr-original-style="" style="box-sizing: border-box;">Module 14: Control Chart Special Cases</li><li fr-original-style="" style="box-sizing: border-box;">Module 15: Interpreting the Control Chart</li><li fr-original-style="" style="box-sizing: border-box;">Module 16: Control Chart Exercise</li><li fr-original-style="" style="box-sizing: border-box;">Module 17: Strategies to Deal with Variation</li><li fr-original-style="" style="box-sizing: border-box;">Module 18: Using Data to Drive Improvement</li><li fr-original-style="" style="box-sizing: border-box;">Module 19: A Structure for Performance Measurement</li><li fr-original-style="" style="box-sizing: border-box;">Module 20: Data Analysis Exercise</li><li fr-original-style="" style="box-sizing: border-box;">Module 21: Course Project</li><li fr-original-style="" style="box-sizing: border-box;">Module 22: Test your Understanding</li></ul></div><span style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">
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</span></strong><h3 fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Why Choose Teachers Training</strong></h3></div>
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<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Some of our website features are:</p></div>
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This is a dedicated website for teaching
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24/7 tutor support
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Interactive Content
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Affordable price
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Courses accredited by the UK&#39;s top awarding bodies
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100% online 
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Flexible deadline
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<h3 fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Entry Requirements
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<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">No formal entry requirements. You need to have:</p></div>
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Passion for learning
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A good understanding of the English language
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Be motivated and hard-working
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Over the age of 16.
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<h3 fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certification</strong></h3></div>
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<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;">CPD Certification from The Teachers Training</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish.</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">You can get your digital certificate (PDF) for &pound;4.99 only</li><li fr-original-style="" style="box-sizing: border-box;">Hard copy certificates are also available, and you can get one for only &pound;10.99</li><li fr-original-style="" style="box-sizing: border-box;">You can get both PDF and Hard copy certificates for just &pound;12.99!</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.</p></div>
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Basic Data Analysis Overview
Basic Data Analysis Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Basic Data Analysis Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.
Consisting of several modules, the course teaches you everything you need to succeed in this profession.
The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.
Basic Data Analysis Course Curriculum

Module 01: Introduction
Module 02: Agenda and Principles of Process Management
Module 03: The Voice of the Process
Module 04: Working as One Team for Improvement
Module 05: Exercise: The Voice of the Customer
Module 06: Tools for Data Analysis
Module 07: The Pareto Chart
Module 08: The Histogram
Module 09: The Run Chart
Module 10: Exercise: Presenting Performance Data
Module 11: Understanding Variation
Module 12: The Control Chart
Module 13: Control Chart Example
Module 14: Control Chart Special Cases
Module 15: Interpreting the Control Chart
Module 16: Control Chart Exercise
Module 17: Strategies to Deal with Variation
Module 18: Using Data to Drive Improvement
Module 19: A Structure for Performance Measurement
Module 20: Data Analysis Exercise
Module 21: Course Project
Module 22: Test your Understanding
Why Choose Teachers Training
Some of our website features are:
This is a dedicated website for teaching
24/7 tutor support
Interactive Content
Affordable price
Courses accredited by the UK's top awarding bodies
100% online
Flexible deadline
 Entry Requirements

No formal entry requirements. You need to have:
Passion for learning
A good understanding of the English language
Be motivated and hard-working
Over the age of 16.
Certification
CPD Certification from The Teachers Training
Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish.
You can get your digital certificate (PDF) for £4.99 only
Hard copy certificates are also available, and you can get one for only £10.99
You can get both PDF and Hard copy certificates for just £12.99!
The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.

The Teachers Training

Unlock the power of data with our Basic Data Analysis Course. Learn essential techniques to interpret and draw insights from raw information. Enroll now to kickstart your data analysis journey and make informed decisions in any field.

Basic Data Analysis

General Admission

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					<div><p><span>If you're looking forward to building a career in a sector that technologies will never replace, then our </span><b>Welding Training</b><span> course is the perfect trade for you. </span></p><p><span>The detailed </span><b>Welding Training</b><span> course will provide you with the knowledge of fundamental welding principles and process. From preparing metals for fabrication to basic welding techniques, this welding training course has it all. It will help you to grow expertise in using up to date and standard welding practices. Also, it will help you to understand the mechanism of welding instruments and tools. This course will prepare you to understand various safety hazards and provide tactics to overcome them. </span><span>So what are you waiting for? Get up and enrol today in our </span><b>Welding Training</b><span> course and acquire knowledge and skillset to flourish your career in the welding profession.</span></p></div>
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				<h2>Learning outcome</h2>
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										<span>Gain fundamental knowledge of welding.</span>
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										<span>Learn to weld different types of metals.</span>
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										<span>Know about health and safety precautions in the welding profession. </span>
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				<h2>Requirements</h2>
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										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
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										<span>Access to any internet-enabled smart device.</span>
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				<h2>Why should I take this course?</h2>
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										<span>1+ hours of on-demand video lectures and downloadable resources.</span>
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										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
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										<span>You will receive a completion certificate upon completing the course.</span>
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										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
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										<span>You will learn the researched and proven approach adopted by successful salespeople to transform their careers.</span>
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										<span>You will be able to incorporate various practical sales techniques successfully and understand your customers better.</span>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Module 1: Introduction to Welding</strong></td>
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					<td>Introduction to Welding</td><td><span>🕐 00:11:00</span></td>
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					<td colspan="4"><strong>Module 2: Getting Familiar with Metals</strong></td>
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					<td>Getting Familiar with Metals</td><td><span>🕐 00:09:00</span></td>
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					<td colspan="4"><strong>Module 3: Exploring Welding Methods</strong></td>
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					<td>Exploring Welding Methods</td><td><span>🕐 00:14:00</span></td>
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					<td colspan="4"><strong>Module 4: Knowing the Welding Metals</strong></td>
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					<td>Knowing the Welding Metals</td><td><span>🕐 00:13:00</span></td>
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					<td colspan="4"><strong>Module 5: Preparing Steel for Welding</strong></td>
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					<td>Preparing Steel for Welding</td><td><span>🕐 00:12:00</span></td>
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					<td colspan="4"><strong>Module 6: Working with Stainless Steel</strong></td>
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					<td>Working with Stainless Steel</td><td><span>🕐 00:09:00</span></td>
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					<td colspan="4"><strong>Module 7: Working with Aluminium and Other Metals</strong></td>
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					<td>Working with Aluminium and Other Metals</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>*Welding Tutorials*</strong></td>
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					<td colspan="4"><strong>Module 8: MIG Welding Tutorial</strong></td>
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					<td>MIG Welding Tutorial</td><td><span>🕐 00:57:00</span></td>
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					<td colspan="4"><strong>Module 9: TIG Welding Tutorial</strong></td>
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					<td>TIG Welding Tutorial</td><td><span>🕐 00:47:00</span></td>
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					<td colspan="4"><strong>Module 10: Arc Welding Tutorial</strong></td>
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					<td>Arc Welding Tutorial</td><td><span>🕐 01:21:00</span></td>
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					<td colspan="4"><strong>*Welding Hazards and Safety*</strong></td>
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					<td colspan="4"><strong>Module 11: Illness Caused by Welding Fume and Gases</strong></td>
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					<td>Illness Caused by Welding Fume and Gases</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Module 12: Welding Fume - Reducing the Risk</strong></td>
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					<td>Welding Fume - Reducing the Risk</td><td><span>🕐 00:22:00</span></td>
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					<td colspan="4"><strong>Module 13: Hearing Loss and Vibration White Finger</strong></td>
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					<td>Hearing Loss and Vibration White Finger</td><td><span>🕐 00:11:00</span></td>
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					<td colspan="4"><strong>Module 14: Other Safety Issues</strong></td>
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					<td>Other Safety Issues</td><td><span>🕐 00:26:00</span></td>
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					<td colspan="4"><strong>Module 15: Protection during Welding</strong></td>
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					<td>Protection during Welding</td><td><span>🕐 00:40:00</span></td>
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					<td colspan="4"><strong>Module 16: Safety in Gas Welding</strong></td>
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								<tr>
					<td>▶</td>
					<td>Safety in Gas Welding</td><td><span>🕐 00:34:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

If you're looking forward to building a career in a sector that technologies will never replace, then our Welding Training course is the perfect trade for you. 
The detailed Welding Training course will provide you with the knowledge of fundamental welding principles and process. From preparing metals for fabrication to basic welding techniques, this welding training course has it all. It will help you to grow expertise in using up to date and standard welding practices. Also, it will help you to understand the mechanism of welding instruments and tools. This course will prepare you to understand various safety hazards and provide tactics to overcome them. So what are you waiting for? Get up and enrol today in our Welding Training course and acquire knowledge and skillset to flourish your career in the welding profession.
Learning outcome
Gain fundamental knowledge of welding.
Learn about various welding types of equipment and their use.
Acquire skill sets of practical and modern welding techniques.
Learn to weld different types of metals.
Know about health and safety precautions in the welding profession.
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 1: Introduction to Welding			
▶	Introduction to Welding	🕐 00:11:00
Module 2: Getting Familiar with Metals			
▶	Getting Familiar with Metals	🕐 00:09:00
Module 3: Exploring Welding Methods			
▶	Exploring Welding Methods	🕐 00:14:00
Module 4: Knowing the Welding Metals			
▶	Knowing the Welding Metals	🕐 00:13:00
Module 5: Preparing Steel for Welding			
▶	Preparing Steel for Welding	🕐 00:12:00
Module 6: Working with Stainless Steel			
▶	Working with Stainless Steel	🕐 00:09:00
Module 7: Working with Aluminium and Other Metals			
▶	Working with Aluminium and Other Metals	🕐 00:10:00
*Welding Tutorials*			
Module 8: MIG Welding Tutorial			
▶	MIG Welding Tutorial	🕐 00:57:00
Module 9: TIG Welding Tutorial			
▶	TIG Welding Tutorial	🕐 00:47:00
Module 10: Arc Welding Tutorial			
▶	Arc Welding Tutorial	🕐 01:21:00
*Welding Hazards and Safety*			
Module 11: Illness Caused by Welding Fume and Gases			
▶	Illness Caused by Welding Fume and Gases	🕐 00:08:00
Module 12: Welding Fume - Reducing the Risk			
▶	Welding Fume - Reducing the Risk	🕐 00:22:00
Module 13: Hearing Loss and Vibration White Finger			
▶	Hearing Loss and Vibration White Finger	🕐 00:11:00
Module 14: Other Safety Issues			
▶	Other Safety Issues	🕐 00:26:00
Module 15: Protection during Welding			
▶	Protection during Welding	🕐 00:40:00
Module 16: Safety in Gas Welding			
▶	Safety in Gas Welding	🕐 00:34:00

Skill Up

MIG Welding

Weld

MMA Welding

Welder

Welding

Lead Welding

With the rise of machine learning applications in recent years, demand for python programmers continues to grow correspondingly.

Welding Training

Learning

Uplatz

Computer Science (CS)

tnmoc

IT Cyber Security Engineer – Job Ready Programme
Enrol in Our IT Cyber Security Engineer – Job Ready Programme with Career Support!
Gain access to 3,000+ online courses and earn Free Certificates to showcase your skills and boost your career potential.
Step into the high-demand world of cyber security with a comprehensive programme designed for the UK job market. Master critical areas like penetration testing, secure cloud architecture, AI-powered threat detection, and GDPR compliance—skills that can lead to roles earning up to £95,000 a year.
As UK businesses face £27 billion in cybercrime losses annually, the demand for skilled IT Cyber Security Engineers has never been greater. Whether you're changing careers or upskilling, this course equips you with in-demand expertise in threat intelligence, cryptography, and secure coding.
Become the digital defence every company needs. Start your journey toward a resilient and rewarding career in cyber security today.

Professional Diploma in IT Cyber Security Engineer – 25 Core Courses
– Course 01: Cyber Security Online Course: DOSS and DDOS
– Course 02: Cyber Security Training: Incident Handling & Response
– Course 03: Security Threat Management
– Course 04: Certified Information Security Manager (CISM)
– Course 05: Certified Information Systems Security Professional (CISSP)
– Course 06: CompTIA Advanced Security Practitioner (CASP)
– Course 07: Computer Network Security Complete Training
– Course 08: CyberSec First Responder: Threat Detection and Response [QLS Level 7]
– Course 09: Bash Scripting and Shell Programming for Beginners
– Course 10: Ethical Hacking Masterclass
– Course 11: CompTIA PenTest+ Ethical Hacking Course
– Course 12: BlackArch Linux: Ethical Hacking and Penetration Testing
– Course 13: Ultimate Linux Security and Hardening Training
– Course 14: The Complete Python Hacking Course: Beginner to Advanced!
– Course 15: SQL Database Basics
– Course 16: CompTIA Network+ Certification (N10-008)
– Course 17: CompTIA A+ Core 1 (220-1101) Course
– Course 18: CompTIA A+ Core 2 (220-1102) Course
– Course 19: CompTIA Security+ (SY0-601)
– Course 20: CompTIA Cloud+ CV0-002 Course
– Course 21: Cisco CCENT/CCNA Interconnecting Cisco Networking Devices Part 1
– Course 22: Cisco CCNA Interconnecting Cisco Networking Devices Part 2 (ICND2) Training
– Course 23: Cisco ASA Firewall Training with Step-by-Step Lab Workbook
– Course 24: FortiGate Firewall Training Step-by-Step Lab Workbook
– Course 25: Palo Alto Firewall Training with Step-by-Step Lab Workbook
Job Readiness & Career Development Training (Complementary)
– Course 01: Career Development Training
– Course 02: Effective CV Writing
– Course 03: CV Writing and Interview Tricks
– Course 04: Ace the Interview – Interview Prep That Makes a Difference
– Course 05: Job Search Skills
– Course 06: Effective Communication Skills for Professionals
– Course 07: Boost Your Confidence, Assertiveness
– Course 08: Body Language Secrets
– Course 09: Coaching and Mentoring
– Course 10: Presentation Skills – Present like a Pro
– Course 11: Public Speaking Course
– Course 12: Project Management Training
– Course 13: Leadership & Management
– Course 14: Negotiation and Agreement Training
– Course 15: Workplace Equality & Diversity
– Course 16: Professional Development and Personal Well-being
– Course 17: Emotional Intelligence and Human Behaviour
– Course 18: Time Management: Step By Step Training
– Course 19: Cross-Cultural Awareness
– Course 20: Productivity Boosting
– Course 21: Critical Thinking & Problem Solving
– Course 22: Perfect LinkedIn Profile Creation
– Course 23: Resume Writing Skills & Job Search With LinkedIn
– Course 24: Email Writing
– Course 25: Learn Microsoft Word, PowerPoint & Outlook In 90 Minutes!

IT Cyber Security Engineer – Job Ready Programme

Programme With Certification

Programme Without Certification

<strong>Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.</strong>
        <p>This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.</p>
        <h2>What You Will Learn</h2><p>When to use Python 2 and when to use Python 3.<br>How to install Python on Windows, Mac, and Linux.<br>How to prepare your computer for programming in Python.<br>The various ways to run a Python program on Windows, Mac, and Linux.<br>Suggested text editors and Integrated Development Environments to use when coding in Python.<br>How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.<br>What variables are and when to use them.<br>How to perform mathematical operations using Python.<br>How to capture input from a user.<br>Ways to control the flow of your programs.<br>The importance of white space in Python.<br>How to organize your Python programs: learn what goes where.<br>What modules are, when you should use them, and how to create your own.<br>How to define and use functions.<br>Important built-in Python functions that you ll use often.<br>How to read from and write to files.<br>The difference between binary and text files.<br>Various ways of getting help, including finding Python documentation.<br></p>
        <h2>Audience</h2><p>This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. </p>
        <h2>Key Features</h2><p>How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-</p>
        <h2>About the Author</h2><h3>Jason Cannon</h3><p>Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies.

Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.</p>
        <h2>Course Outline</h2><h4>1. Course Overview and Downloads</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>Course Overview and Downloads: Course Overview</p></td></tr></tbody></table><br><h4>2. Python Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python 2 vs Python 3</p><p style='margin: 0'>Python Setup: Python 2 vs Python 3</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python on Windows</p><p style='margin: 0'>Python Setup: Installing Python on Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Python on Mac</p><p style='margin: 0'>Python Setup: Installing Python on Mac</p></td></tr><tr><td style='padding: 15px;'><p>4. Installing Python on Linux</p><p style='margin: 0'>Python Setup: Installing Python on Linux</p></td></tr><tr><td style='padding: 15px;'><p>5. Writing Python Programs</p><p style='margin: 0'>Python Setup: Writing Python Programs</p></td></tr><tr><td style='padding: 15px;'><p>6. Running Python Programs</p><p style='margin: 0'>Python Setup: Running Python Programs</p></td></tr></tbody></table><br><h4>3. Strings and Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Strings and Variables: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables and Strings</p><p style='margin: 0'>Strings and Variables: Variables and Strings</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions and Printing</p><p style='margin: 0'>Strings and Variables: Functions and Printing</p></td></tr><tr><td style='padding: 15px;'><p>4. String Methods</p><p style='margin: 0'>Strings and Variables: String Methods</p></td></tr><tr><td style='padding: 15px;'><p>5. String Concatenation</p><p style='margin: 0'>Strings and Variables: String Concatenation</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatting Strings</p><p style='margin: 0'>Strings and Variables: Formatting Strings</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Strings and Variables: Section Summary</p></td></tr><tr><td style='padding: 15px;'><p>8. Solutions to the Practice Exercises - #1 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #1 - Video</p></td></tr><tr><td style='padding: 15px;'><p>9. Solutions to the Practice Exercises - #2 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #2 - Video</p></td></tr><tr><td style='padding: 15px;'><p>10. Solutions to the Practice Exercises - #3 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #3 - Video</p></td></tr></tbody></table><br><h4>4. Numbers and Math</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Numbers and Math: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Numbers, Numeric Operations, and Numeric Functions</p><p style='margin: 0'>Numbers and Math: Numbers, Numeric Operations, and Numeric Functions</p></td></tr><tr><td style='padding: 15px;'><p>3. Comments</p><p style='margin: 0'>Numbers and Math: Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Numbers and Math: Section Summary</p></td></tr></tbody></table><br><h4>5. Booleans and Conditionals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Booleans and Conditionals: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Booleans</p><p style='margin: 0'>Booleans and Conditionals: Booleans</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditionals</p><p style='margin: 0'>Booleans and Conditionals: Conditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Booleans and Conditionals: Section Summary</p></td></tr></tbody></table><br><h4>6. Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Functions: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions, Part I</p><p style='margin: 0'>Functions: Functions, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions, Part II</p><p style='margin: 0'>Functions: Functions, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Functions: Section Summary</p></td></tr></tbody></table><br><h4>7. Lists</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Lists: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Lists</p><p style='margin: 0'>Lists: Lists</p></td></tr><tr><td style='padding: 15px;'><p>3. Slices</p><p style='margin: 0'>Lists: Slices</p></td></tr><tr><td style='padding: 15px;'><p>4. Exception Handling</p><p style='margin: 0'>Lists: Exception Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Loops</p><p style='margin: 0'>Lists: Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting and Ranges</p><p style='margin: 0'>Lists: Sorting and Ranges</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Lists: Section Summary</p></td></tr></tbody></table><br><h4>8. Dictionaries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Dictionaries: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Dictionaries - Part I</p><p style='margin: 0'>Dictionaries: Dictionaries - Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Dictionaries - Part II</p><p style='margin: 0'>Dictionaries: Dictionaries - Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Dictionaries: Section Summary</p></td></tr></tbody></table><br><h4>9. Tuples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Tuples: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Tuples</p><p style='margin: 0'>Tuples: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>3. Section Summary</p><p style='margin: 0'>Tuples: Section Summary</p></td></tr></tbody></table><br><h4>10. Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Files: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Files, Part I</p><p style='margin: 0'>Files: Files, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Files, Part II</p><p style='margin: 0'>Files: Files, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Files: Section Summary</p></td></tr></tbody></table><br><h4>11. Modules</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Modules, Part I</p><p style='margin: 0'>Modules: Modules, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules, Part II</p><p style='margin: 0'>Modules: Modules, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr></tbody></table>

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.
This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.
What You Will Learn
When to use Python 2 and when to use Python 3.
How to install Python on Windows, Mac, and Linux.
How to prepare your computer for programming in Python.
The various ways to run a Python program on Windows, Mac, and Linux.
Suggested text editors and Integrated Development Environments to use when coding in Python.
How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.
What variables are and when to use them.
How to perform mathematical operations using Python.
How to capture input from a user.
Ways to control the flow of your programs.
The importance of white space in Python.
How to organize your Python programs: learn what goes where.
What modules are, when you should use them, and how to create your own.
How to define and use functions.
Important built-in Python functions that you ll use often.
How to read from and write to files.
The difference between binary and text files.
Various ways of getting help, including finding Python documentation.

Audience
This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.
Approach
A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. 
Key Features
How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * 
Github Repo
https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-
About the Author
Jason Cannon
Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies. Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.
Course Outline
1. Course Overview and Downloads

1. Course Overview
Course Overview and Downloads: Course Overview
2. Python Setup

1. Python 2 vs Python 3
Python Setup: Python 2 vs Python 3
2. Installing Python on Windows
Python Setup: Installing Python on Windows
3. Installing Python on Mac
Python Setup: Installing Python on Mac
4. Installing Python on Linux
Python Setup: Installing Python on Linux
5. Writing Python Programs
Python Setup: Writing Python Programs
6. Running Python Programs
Python Setup: Running Python Programs
3. Strings and Variables

1. Section Overview
Strings and Variables: Section Overview
2. Variables and Strings
Strings and Variables: Variables and Strings
3. Functions and Printing
Strings and Variables: Functions and Printing
4. String Methods
Strings and Variables: String Methods
5. String Concatenation
Strings and Variables: String Concatenation
6. Formatting Strings
Strings and Variables: Formatting Strings
7. Section Summary
Strings and Variables: Section Summary
8. Solutions to the Practice Exercises - #1 - Video
Strings and Variables: Solutions to the Practice Exercises - #1 - Video
9. Solutions to the Practice Exercises - #2 - Video
Strings and Variables: Solutions to the Practice Exercises - #2 - Video
10. Solutions to the Practice Exercises - #3 - Video
Strings and Variables: Solutions to the Practice Exercises - #3 - Video
4. Numbers and Math

1. Section Overview
Numbers and Math: Section Overview
2. Numbers, Numeric Operations, and Numeric Functions
Numbers and Math: Numbers, Numeric Operations, and Numeric Functions
3. Comments
Numbers and Math: Comments
4. Section Summary
Numbers and Math: Section Summary
5. Booleans and Conditionals

1. Section Overview
Booleans and Conditionals: Section Overview
2. Booleans
Booleans and Conditionals: Booleans
3. Conditionals
Booleans and Conditionals: Conditionals
4. Section Summary
Booleans and Conditionals: Section Summary
6. Functions

1. Section Overview
Functions: Section Overview
2. Functions, Part I
Functions: Functions, Part I
3. Functions, Part II
Functions: Functions, Part II
4. Section Summary
Functions: Section Summary
7. Lists

1. Section Overview
Lists: Section Overview
2. Lists
Lists: Lists
3. Slices
Lists: Slices
4. Exception Handling
Lists: Exception Handling
5. Loops
Lists: Loops
6. Sorting and Ranges
Lists: Sorting and Ranges
7. Section Summary
Lists: Section Summary
8. Dictionaries

1. Section Overview
Dictionaries: Section Overview
2. Dictionaries - Part I
Dictionaries: Dictionaries - Part I
3. Dictionaries - Part II
Dictionaries: Dictionaries - Part II
4. Section Summary
Dictionaries: Section Summary
9. Tuples

1. Section Overview
Tuples: Section Overview
2. Tuples
Tuples: Tuples
3. Section Summary
Tuples: Section Summary
10. Files

1. Section Overview
Files: Section Overview
2. Files, Part I
Files: Files, Part I
3. Files, Part II
Files: Files, Part II
4. Section Summary
Files: Section Summary
11. Modules

1. Section Overview
Modules: Section Overview
2. Modules, Part I
Modules: Modules, Part I
3. Modules, Part II
Modules: Modules, Part II
4. Section Overview
Modules: Section Overview

Python

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

Python for Beginners: Learn Python Programming (Python 3)

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.
'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author. Python is the programming language most loved by developers, data scientists, software engineers, and even hackers. This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django. It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server. By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently. The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming
What You Will Learn
Learn the basics of Python

Learn networking and database access using Python and CGI programming

Understand the Python debugger

Understand web scraping using Beautiful Soup

Learn about Python Unittest

Build a Python chat server
Audience
This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.
Approach
This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.
Key Features
Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course
Github Repo
https://github.com/packtpublishing/python-programming
About the Author
Learnkart Technology Private Limited
Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.
Course Outline
1. Course Introduction

2. Python Basics

3. Data Operations

4. Conditional Statements and Functions

5. Error Handling and File Operations

6. Shell Scripting and Django

7. Course End Project


You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

<strong>This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.</strong>
        <p>Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python.

This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions.

Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum.

By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Master Python programming fundamentals<br>Learn how to install Python to get up and running in no time<br>Learn how to process data to create Olympics Medals Tables<br>Solve multiple specific problems for a customer in the real world<br>Learn all about objects and variables in Python<br>Understand functions and function parameters in Python</p>
        <h2>Audience</h2><p>Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.</p>
        <h2>Approach</h2><p>This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.</p>
        <h2>Key Features</h2><p>Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>About the Author</h2><h3>Paul Ashun</h3><p>Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook.

He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video is an introduction the course and what you can expect from the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Learning Objectives - Introduction</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>3. What Is Python?</p><p style='margin: 0'>This video explains what Python is and the need for Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Example</p><p style='margin: 0'>This video explains an example of a software engineer working in a media company to support the development team.</p></td></tr></tbody></table><br><h4>2. Getting Set Up</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Get Started with Replit</p><p style='margin: 0'>This video explains how to get started with Replit.</p></td></tr><tr><td style='padding: 15px;'><p>3. Writing Your First Python Program-Hello World</p><p style='margin: 0'>This video explains writing your first Python program-Hello World.</p></td></tr></tbody></table><br><h4>3. Storing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Objects and Variables</p><p style='margin: 0'>This video explains objects and variables in Python using an example of Olympic results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Names</p><p style='margin: 0'>This video explains variable names in Python and the rules to use them.</p></td></tr><tr><td style='padding: 15px;'><p>4. Numbers</p><p style='margin: 0'>This video explains the different types of numbers in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Strings</p><p style='margin: 0'>This video explains strings in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Showing Output When Running Python</p><p style='margin: 0'>This video explains showing output when running Python.</p></td></tr></tbody></table><br><h4>4. Processing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Information</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing Information</p><p style='margin: 0'>This video explains processing information in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Indexing</p><p style='margin: 0'>This video explains indexing in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Slices</p><p style='margin: 0'>This video explains slices in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. String Functions</p><p style='margin: 0'>This video explains string functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. The 'input' Function</p><p style='margin: 0'>This video explains the input function in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. More String Operations</p><p style='margin: 0'>This video explains more string operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Converting Between Different Types</p><p style='margin: 0'>This video explains converting between different types.</p></td></tr></tbody></table><br><h4>5. Comparing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Comparing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Comparing Information</p><p style='margin: 0'>This video explains comparing information in Python.</p></td></tr></tbody></table><br><h4>6. Tidying Messy Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Tidying Messy Data</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidying Messy Data</p><p style='margin: 0'>This video explains how to tidy messy data.</p></td></tr></tbody></table><br><h4>7. Storing Multiple Things</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Multiple Things</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Storing Multiple Things</p><p style='margin: 0'>This video explains how to store multiple things.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introducing Python Lists</p><p style='margin: 0'>This video explains lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Items to a List</p><p style='margin: 0'>This video explains how to add items to a list.</p></td></tr><tr><td style='padding: 15px;'><p>5. Indexing and Slicing Lists</p><p style='margin: 0'>This video explains indexing and slicing lists.</p></td></tr><tr><td style='padding: 15px;'><p>6. Deleting Items in a List</p><p style='margin: 0'>This video explains how to delete items in a list.</p></td></tr><tr><td style='padding: 15px;'><p>7. Tuples</p><p style='margin: 0'>This video explains tuples in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Long Lines in Python</p><p style='margin: 0'>This video explains long lines in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dictionaries</p><p style='margin: 0'>This video explains dictionaries in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. List Functions - More Ways to Work with Lists</p><p style='margin: 0'>This video explains list functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Sets</p><p style='margin: 0'>This video explains sets in Python.</p></td></tr></tbody></table><br><h4>8. Processing Collections</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Collections</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple 'for' Loop</p><p style='margin: 0'>This video explains a simple for loop.</p></td></tr><tr><td style='padding: 15px;'><p>3. More Complex 'for' loops - 'break', 'continue', and 'else'</p><p style='margin: 0'>This video explains more complex 'for' loops.</p></td></tr><tr><td style='padding: 15px;'><p>4. The 'range' Function - How to Create a List of Numbers</p><p style='margin: 0'>This video explains how to create a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. The 'while' Loop - Do Something for a While</p><p style='margin: 0'>This video explains the while loop.</p></td></tr></tbody></table><br><h4>9. Robust Programs - Handling Errors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains error handling in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Look Before You Leap</p><p style='margin: 0'>This video explains one way of making the code more robust, which is called 'look before you leap'.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Try and Except Block</p><p style='margin: 0'>This video explains the try and except block in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. The Catch-All Block</p><p style='margin: 0'>This video explains the catch-all block.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Resources to Replit</p><p style='margin: 0'>This video explains how to add resources to Replit.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Finally Block</p><p style='margin: 0'>This video explains the finally block.</p></td></tr></tbody></table><br><h4>10. Saving the Results - Working with Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Saving the Results - Working with Files</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding Bad Data</p><p style='margin: 0'>This video explains adding bad data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Saving the Results - Working with Files</p><p style='margin: 0'>This video explains saving the results and working with files.</p></td></tr><tr><td style='padding: 15px;'><p>4. Binary File Modes</p><p style='margin: 0'>This video explains binary file modes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Text File Modes</p><p style='margin: 0'>This video explains text file modes.</p></td></tr><tr><td style='padding: 15px;'><p>6. The With Statement</p><p style='margin: 0'>This video explains the with statement.</p></td></tr></tbody></table><br><h4>11. Breaking Up Larger Programs, Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 1</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Replit.config</p><p style='margin: 0'>This video explains replit.config.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions</p><p style='margin: 0'>This video explains functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Function Parameters</p><p style='margin: 0'>This video explains function parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Local Versus Global Variables</p><p style='margin: 0'>This video explains local versus global variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Positional and Keyword Parameters</p><p style='margin: 0'>This video explains positional and keyword parameters.</p></td></tr><tr><td style='padding: 15px;'><p>7. Return Statement</p><p style='margin: 0'>This video explains the return statement.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working With JSON</p><p style='margin: 0'>This video explains working with JSON.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Comments and Clear Code</p><p style='margin: 0'>This video explains code comments in Python.</p></td></tr></tbody></table><br><h4>12. Summarising and Presenting the Results</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Summarising and Presenting the Results</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Summarising and Presenting the Results Part 1</p><p style='margin: 0'>This video explains how to summarise the results using statistics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Cleaning the Data</p><p style='margin: 0'>This video explains cleaning the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Summarising and Presenting the Results Part 2</p><p style='margin: 0'>This video explains the code in which we will get a sum of the scores of a country.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Numeric Functions - Min, Max, Sum</p><p style='margin: 0'>This video explains min, max, and sum functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatted Strings, f-strings</p><p style='margin: 0'>This video explains formatted strings and f-strings in Python.</p></td></tr></tbody></table><br><h4>13. Breaking Up Larger Programs, Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 2</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splitting Code into Modules</p><p style='margin: 0'>This video explains splitting code into modules.</p></td></tr><tr><td style='padding: 15px;'><p>3. Namespaces</p><p style='margin: 0'>This video explains namespaces in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Our Modules</p><p style='margin: 0'>This video explains how to use modules in Python.</p></td></tr></tbody></table><br><h4>14. Getting Set Up on a PC or MAC</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up on a PC or MAC</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Set Up</p><p style='margin: 0'>This video explains how to set up Python on our systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Starting Python on Windows 10</p><p style='margin: 0'>This video explains how to start Python on Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>4. Starting a Terminal or Command Prompt on Windows</p><p style='margin: 0'>This video explains how to start a terminal or command prompt on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Python on Windows</p><p style='margin: 0'>This video explains the installation of Python on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing Python on MacOS</p><p style='margin: 0'>This video explains the installation on Python on MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Quick Python Test - Running Python</p><p style='margin: 0'>This video explains how to run a Python script.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Scripts and IDLE</p><p style='margin: 0'>This video explains Python scripts and IDE.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Editors and IDEs</p><p style='margin: 0'>This video explains code editors and IDEs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Running Python Scripts</p><p style='margin: 0'>This video explains how to run Python scripts.</p></td></tr></tbody></table>

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.
Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python. This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions. Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum. By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python. All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners
What You Will Learn
Master Python programming fundamentals
Learn how to install Python to get up and running in no time
Learn how to process data to create Olympics Medals Tables
Solve multiple specific problems for a customer in the real world
Learn all about objects and variables in Python
Understand functions and function parameters in Python
Audience
Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.
Approach
This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.
Key Features
Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information
Github Repo
https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners
About the Author
Paul Ashun
Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook. He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.
Course Outline
1. Introduction

1. Introduction
This video is an introduction the course and what you can expect from the course.
2. Learning Objectives - Introduction
This video explains the learning objectives of the course.
3. What Is Python?
This video explains what Python is and the need for Python.
4. The Example
This video explains an example of a software engineer working in a media company to support the development team.
2. Getting Set Up

1. Learning Objectives - Getting Set Up
This video explains the learning objectives of this section.
2. How to Get Started with Replit
This video explains how to get started with Replit.
3. Writing Your First Python Program-Hello World
This video explains writing your first Python program-Hello World.
3. Storing Information

1. Learning Objectives - Storing Information
This video explains the learning objectives of this section.
2. Objects and Variables
This video explains objects and variables in Python using an example of Olympic results.
3. Variable Names
This video explains variable names in Python and the rules to use them.
4. Numbers
This video explains the different types of numbers in Python.
5. Strings
This video explains strings in Python.
6. Showing Output When Running Python
This video explains showing output when running Python.
4. Processing Information

1. Learning Objectives - Processing Information
This video explains the learning objectives of the section.
2. Processing Information
This video explains processing information in Python.
3. Indexing
This video explains indexing in Python.
4. Slices
This video explains slices in Python.
5. String Functions
This video explains string functions in Python.
6. The 'input' Function
This video explains the input function in Python.
7. More String Operations
This video explains more string operations in Python.
8. Converting Between Different Types
This video explains converting between different types.
5. Comparing Information

1. Learning Objectives - Comparing Information
This video explains the learning objectives of this section.
2. Comparing Information
This video explains comparing information in Python.
6. Tidying Messy Data

1. Learning Objectives - Tidying Messy Data
This video explains the learning objectives of this section.
2. Tidying Messy Data
This video explains how to tidy messy data.
7. Storing Multiple Things

1. Learning Objectives - Storing Multiple Things
This video explains the learning objectives of this section.
2. Storing Multiple Things
This video explains how to store multiple things.
3. Introducing Python Lists
This video explains lists in Python.
4. Adding Items to a List
This video explains how to add items to a list.
5. Indexing and Slicing Lists
This video explains indexing and slicing lists.
6. Deleting Items in a List
This video explains how to delete items in a list.
7. Tuples
This video explains tuples in Python.
8. Long Lines in Python
This video explains long lines in Python.
9. Dictionaries
This video explains dictionaries in Python.
10. List Functions - More Ways to Work with Lists
This video explains list functions.
11. Sets
This video explains sets in Python.
8. Processing Collections

1. Learning Objectives - Processing Collections
This video explains the learning objectives of the section.
2. A Simple 'for' Loop
This video explains a simple for loop.
3. More Complex 'for' loops - 'break', 'continue', and 'else'
This video explains more complex 'for' loops.
4. The 'range' Function - How to Create a List of Numbers
This video explains how to create a list of numbers.
5. The 'while' Loop - Do Something for a While
This video explains the while loop.
9. Robust Programs - Handling Errors

1. Learning Objectives - Robust Programs - Handling Errors
This video explains the learning objectives of the section.
2. Robust Programs - Handling Errors
This video explains error handling in Python.
3. Look Before You Leap
This video explains one way of making the code more robust, which is called 'look before you leap'.
4. The Try and Except Block
This video explains the try and except block in Python.
5. The Catch-All Block
This video explains the catch-all block.
6. Adding Resources to Replit
This video explains how to add resources to Replit.
7. The Finally Block
This video explains the finally block.
10. Saving the Results - Working with Files

1. Learning Objectives - Saving the Results - Working with Files
This video explains the learning objectives of the course.
2. Adding Bad Data
This video explains adding bad data.
3. Saving the Results - Working with Files
This video explains saving the results and working with files.
4. Binary File Modes
This video explains binary file modes.
5. Text File Modes
This video explains text file modes.
6. The With Statement
This video explains the with statement.
11. Breaking Up Larger Programs, Part 1

1. Learning Objectives - Breaking Up Larger Programs, Part 1
This video explains the learning objectives of the section.
2. About Replit.config
This video explains replit.config.
3. Functions
This video explains functions in Python.
4. Function Parameters
This video explains function parameters.
5. Local Versus Global Variables
This video explains local versus global variables.
6. Positional and Keyword Parameters
This video explains positional and keyword parameters.
7. Return Statement
This video explains the return statement.
8. Working With JSON
This video explains working with JSON.
9. Code Comments and Clear Code
This video explains code comments in Python.
12. Summarising and Presenting the Results

1. Learning Objectives - Summarising and Presenting the Results
This video explains the learning objectives of the section.
2. Summarising and Presenting the Results Part 1
This video explains how to summarise the results using statistics.
3. Cleaning the Data
This video explains cleaning the data in Python.
4. Summarising and Presenting the Results Part 2
This video explains the code in which we will get a sum of the scores of a country.
5. More Numeric Functions - Min, Max, Sum
This video explains min, max, and sum functions in Python.
6. Formatted Strings, f-strings
This video explains formatted strings and f-strings in Python.
13. Breaking Up Larger Programs, Part 2

1. Learning Objectives - Breaking Up Larger Programs, Part 2
This video explains the learning objectives of the section.
2. Splitting Code into Modules
This video explains splitting code into modules.
3. Namespaces
This video explains namespaces in Python.
4. Using Our Modules
This video explains how to use modules in Python.
14. Getting Set Up on a PC or MAC

1. Learning Objectives - Getting Set Up on a PC or MAC
This video explains the learning objectives of the section.
2. Getting Set Up
This video explains how to set up Python on our systems.
3. Starting Python on Windows 10
This video explains how to start Python on Windows 10.
4. Starting a Terminal or Command Prompt on Windows
This video explains how to start a terminal or command prompt on Windows.
5. Installing Python on Windows
This video explains the installation of Python on Windows.
6. Installing Python on MacOS
This video explains the installation on Python on MacOS.
7. Quick Python Test - Running Python
This video explains how to run a Python script.
8. Python Scripts and IDLE
This video explains Python scripts and IDE.
9. Code Editors and IDEs
This video explains code editors and IDEs.
10. Running Python Scripts
This video explains how to run Python scripts.

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Python Bootcamp in a Day - Python Programming for Beginners.

<strong>This course for beginners will help you build a solid foundation in programming with Python 3. We will cover core concepts such as Python statements, variables, data types, lists, typecasting, comments, conditional statements, loops, file handling, OOP concepts, and more. A carefully structured course with live demonstrations to get you started.</strong>
        <p>Python is one of the most popular programming languages and gives a lot of scope and opportunities in the field of programming hence, this course will help you build a strong foundation to achieve your professional goals.

The course is recorded with the latest Python version: Python 3. It is a practical focused course, thus making it compressive and easy to follow for beginners stepping into the world of programming.

The course is divided into four levels. The first level is about Python shell, variables, data types, lists, and user input. The second level will take you through Python IDE (PyCharm), comments, functions, and scope. The third level is about conditions (if) and loops, followed by the fourth level, which is to read/write to a file, use and create Python modules, and run a Python program from the terminal. There is also a bonus lesson on OOP (Object-Oriented Programming). Learning OOP will help you enhance your skills further.

By the end of the course, you will have a strong foundation in Python, and you will be able to build on that foundation with confidence.</p>
        <h2>What You Will Learn</h2><p>Install and use a Python IDE (PyCharm)<br>Create your own Python module to use in other files<br>Explore variables, data types, lists, functions, conditions, and loops<br>Use a built-in Python module in your code<br>Run Python instructions in the Python shell<br>Learn to read files with Python</p>
        <h2>Audience</h2><p>This course is for complete beginners who want to learn Python basics in a straightforward way. Even if you are a programming beginner who started with another language and want to jump to Python, you can opt for this course. This course is also for Python developers who want a quick refresher course, or anyone interested in web development, robotics, artificial intelligence, video games development, and data science.</p>
        <h2>Approach</h2><p>This is a hands-on, practical course. Every single lesson of the course contains live implementations, making it easy for anyone to learn and understand. It is straightforward and is taught in a step-by-step manner to enhance your coding skills.</p>
        <h2>Key Features</h2><p>Learn to write your first Python code and run it * Discover Python OOP (Object-Oriented Programming) * Get introduced to concepts such as inheritance and composition (OOP)</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Practical-Python-Learn-Python-Basics-Step-by-Step-Python-3</p>
        <h2>About the Author</h2><h3>Edouard Renard </h3><p>Edouard Renard is a software engineer, entrepreneur, and robotics teacher. He really enjoys teaching new technologies to people and making complex stuff easy to understand. His method is simple and consists of only three words: step by step. Edouard knows how hard it can be to learn a new topic and just be lost in an ocean of information without knowing what to do. In his courses, he makes sure that you learn one step at a time, through practice, and that you also learn the best practices.

He is passionate about robotics and found that it's amazing how many cool projects you can do with a robot when you have the required programming knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome!</p><p style='margin: 0'>In the video, the author gives an overview of Python and the topics that will be covered in the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Follow This Course</p><p style='margin: 0'>In this video, the author briefs you on how to follow the course and his teaching method.</p></td></tr><tr><td style='padding: 15px;'><p>3. Install Python on Windows</p><p style='margin: 0'>This video demonstrates how to install Python in Windows OS.</p></td></tr><tr><td style='padding: 15px;'><p>4. Install Python on Linux</p><p style='margin: 0'>In this video, the author demonstrates the installation of Python in Linux OS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Install Python on MacOS</p><p style='margin: 0'>This video shows how to install Python in MacOS.</p></td></tr></tbody></table><br><h4>2. Python Basics- Level 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video briefs about the basics of Python and how to go about the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Write Your First Python Statement</p><p style='margin: 0'>This video demonstrates how to use Python Shell and write your first statement.</p></td></tr><tr><td style='padding: 15px;'><p>3. Numbers and Operations</p><p style='margin: 0'>This video shows how to use numbers and operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Variables</p><p style='margin: 0'>This video demonstrates how to use variables in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Variables - Data Types</p><p style='margin: 0'>This video explores the data types in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Lists</p><p style='margin: 0'>This video demonstrates how to create lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. Get User Input</p><p style='margin: 0'>This video demonstrates how to get user input in a specific program.</p></td></tr><tr><td style='padding: 15px;'><p>8. Cast a Type to Another Type</p><p style='margin: 0'>This video shows how to modify a data type of a variable.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 1: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises to work on.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 1: Exercises - Solution</p><p style='margin: 0'>In this video, the author shows the answers of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>3. Python Basics Level 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video gives a brief overview of Python functions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Install a Python IDE (PyCharm)</p><p style='margin: 0'>This video demonstrates how to install IDE PyCharm in different operating systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Write and Execute Your First Python Program</p><p style='margin: 0'>This video demonstrates how to write and execute Python programs and debug issues.</p></td></tr><tr><td style='padding: 15px;'><p>4. Comments</p><p style='margin: 0'>This video shows how to make clean and comprehensive codes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Functions</p><p style='margin: 0'>This video gives an overview of functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Functions Parameters</p><p style='margin: 0'>This video demonstrates how to add parameters to a function.</p></td></tr><tr><td style='padding: 15px;'><p>7. Function Return Statement</p><p style='margin: 0'>This video shows how to make a function return value.</p></td></tr><tr><td style='padding: 15px;'><p>8. Variable Scope</p><p style='margin: 0'>This video gives an overview of variable scope and demonstrates how to use it.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 2: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises related to functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 2: Exercises - Solution</p><p style='margin: 0'>This video shows the answers to the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>4. Python Basics Level 3</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives a brief introduction of conditions and loops.</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Statements with Booleans</p><p style='margin: 0'>In this video, the author demonstrates how to conduct certain tests to get Boolean output.</p></td></tr><tr><td style='padding: 15px;'><p>3. Combine Different Conditional Statements</p><p style='margin: 0'>In this video, the author demonstrates how to combine different conditional statements.</p></td></tr><tr><td style='padding: 15px;'><p>4. Conditions with If</p><p style='margin: 0'>In this video, the author demonstrates conditional statements using the IF structure.</p></td></tr><tr><td style='padding: 15px;'><p>5. Else, Else If</p><p style='margin: 0'>This video shows more about the IF structure using Else, Elif (Else if).</p></td></tr><tr><td style='padding: 15px;'><p>6. For Loop</p><p style='margin: 0'>This video gives an overview of the For loop in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. While Loop</p><p style='margin: 0'>This video shows you how the While loop works.</p></td></tr><tr><td style='padding: 15px;'><p>8. Use Loops to Iterate on Python Lists</p><p style='margin: 0'>This video demonstrates how to use loops to iterate on Python lists.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 3: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises related to conditions and loops.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 3: Exercises - Solution</p><p style='margin: 0'>In this video, the author shows the answer of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>5. Python Basics Level 4</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives a brief introduction to the lessons that will be covered in the coming videos.</p></td></tr><tr><td style='padding: 15px;'><p>2. Read from a File</p><p style='margin: 0'>In this video, the author demonstrates how to read from a file and then how to organize it.</p></td></tr><tr><td style='padding: 15px;'><p>3. Write to a File</p><p style='margin: 0'>This video demonstrates how to write to a file in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Use a Python Module</p><p style='margin: 0'>This video demonstrates how to import and use a Python module.</p></td></tr><tr><td style='padding: 15px;'><p>5. Create Your Own Python Module</p><p style='margin: 0'>This video demonstrates how to create your own Python module.</p></td></tr><tr><td style='padding: 15px;'><p>6. Run a Python Script from the Terminal</p><p style='margin: 0'>This video demonstrates how to run a Python script from the terminal on different operating systems.</p></td></tr><tr><td style='padding: 15px;'><p>7. Python Level 4: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises to work on.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Level 4: Exercises - Solution</p><p style='margin: 0'>This video shows the answers of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>6. Extra: Python OOP</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives an introduction of OOP and how to use it to write a program.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is OOP, What Are Classes</p><p style='margin: 0'>In this video, the author defines and gives a brief description of OOP and classes.</p></td></tr><tr><td style='padding: 15px;'><p>3. Create a Python Class</p><p style='margin: 0'>This video demonstrates how to create a class in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Add Class Methods</p><p style='margin: 0'>This video demonstrates how to add functionalities to a class.</p></td></tr><tr><td style='padding: 15px;'><p>5. Create an Object (Instance) from Your Class</p><p style='margin: 0'>This video demonstrates how to create object (instance) from a class.</p></td></tr><tr><td style='padding: 15px;'><p>6. Organize Your OOP Files</p><p style='margin: 0'>This video shows how to organize OOP files in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. Inheritance - Derive a Class from Another Class</p><p style='margin: 0'>This video gives an overview of inheritance and demonstrates how to derive a class from another class.</p></td></tr><tr><td style='padding: 15px;'><p>8. Composition - Use a Class Inside Another Class</p><p style='margin: 0'>This video gives a brief introduction of the concepts of composition and shows you how to use a class inside another class.</p></td></tr></tbody></table><br><h4>7. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Best Practices When Writing Python Code</p><p style='margin: 0'>In this video, the author suggests a few tips to follow while writing Python codes.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Go Further from Here</p><p style='margin: 0'>This video shows you what and how to pursue further in Python after this course is over.</p></td></tr></tbody></table>

This course for beginners will help you build a solid foundation in programming with Python 3. We will cover core concepts such as Python statements, variables, data types, lists, typecasting, comments, conditional statements, loops, file handling, OOP concepts, and more. A carefully structured course with live demonstrations to get you started.
Python is one of the most popular programming languages and gives a lot of scope and opportunities in the field of programming hence, this course will help you build a strong foundation to achieve your professional goals. The course is recorded with the latest Python version: Python 3. It is a practical focused course, thus making it compressive and easy to follow for beginners stepping into the world of programming. The course is divided into four levels. The first level is about Python shell, variables, data types, lists, and user input. The second level will take you through Python IDE (PyCharm), comments, functions, and scope. The third level is about conditions (if) and loops, followed by the fourth level, which is to read/write to a file, use and create Python modules, and run a Python program from the terminal. There is also a bonus lesson on OOP (Object-Oriented Programming). Learning OOP will help you enhance your skills further. By the end of the course, you will have a strong foundation in Python, and you will be able to build on that foundation with confidence.
What You Will Learn
Install and use a Python IDE (PyCharm)
Create your own Python module to use in other files
Explore variables, data types, lists, functions, conditions, and loops
Use a built-in Python module in your code
Run Python instructions in the Python shell
Learn to read files with Python
Audience
This course is for complete beginners who want to learn Python basics in a straightforward way. Even if you are a programming beginner who started with another language and want to jump to Python, you can opt for this course. This course is also for Python developers who want a quick refresher course, or anyone interested in web development, robotics, artificial intelligence, video games development, and data science.
Approach
This is a hands-on, practical course. Every single lesson of the course contains live implementations, making it easy for anyone to learn and understand. It is straightforward and is taught in a step-by-step manner to enhance your coding skills.
Key Features
Learn to write your first Python code and run it * Discover Python OOP (Object-Oriented Programming) * Get introduced to concepts such as inheritance and composition (OOP)
Github Repo
https://github.com/PacktPublishing/Practical-Python-Learn-Python-Basics-Step-by-Step-Python-3
About the Author
Edouard Renard 
Edouard Renard is a software engineer, entrepreneur, and robotics teacher. He really enjoys teaching new technologies to people and making complex stuff easy to understand. His method is simple and consists of only three words: step by step. Edouard knows how hard it can be to learn a new topic and just be lost in an ocean of information without knowing what to do. In his courses, he makes sure that you learn one step at a time, through practice, and that you also learn the best practices. He is passionate about robotics and found that it's amazing how many cool projects you can do with a robot when you have the required programming knowledge.
Course Outline
1. Introduction

1. Welcome!
In the video, the author gives an overview of Python and the topics that will be covered in the course.
2. How to Follow This Course
In this video, the author briefs you on how to follow the course and his teaching method.
3. Install Python on Windows
This video demonstrates how to install Python in Windows OS.
4. Install Python on Linux
In this video, the author demonstrates the installation of Python in Linux OS.
5. Install Python on MacOS
This video shows how to install Python in MacOS.
2. Python Basics- Level 1

1. Introduction
This video briefs about the basics of Python and how to go about the course.
2. Write Your First Python Statement
This video demonstrates how to use Python Shell and write your first statement.
3. Numbers and Operations
This video shows how to use numbers and operations in Python.
4. Variables
This video demonstrates how to use variables in Python.
5. Variables - Data Types
This video explores the data types in Python.
6. Lists
This video demonstrates how to create lists in Python.
7. Get User Input
This video demonstrates how to get user input in a specific program.
8. Cast a Type to Another Type
This video shows how to modify a data type of a variable.
9. Python Level 1: Exercises
In this video, the author gives a few exercises to work on.
10. Python Level 1: Exercises - Solution
In this video, the author shows the answers of the exercises given in the previous video.
3. Python Basics Level 2

1. Introduction
This video gives a brief overview of Python functions.
2. Install a Python IDE (PyCharm)
This video demonstrates how to install IDE PyCharm in different operating systems.
3. Write and Execute Your First Python Program
This video demonstrates how to write and execute Python programs and debug issues.
4. Comments
This video shows how to make clean and comprehensive codes.
5. Functions
This video gives an overview of functions in Python.
6. Functions Parameters
This video demonstrates how to add parameters to a function.
7. Function Return Statement
This video shows how to make a function return value.
8. Variable Scope
This video gives an overview of variable scope and demonstrates how to use it.
9. Python Level 2: Exercises
In this video, the author gives a few exercises related to functions in Python.
10. Python Level 2: Exercises - Solution
This video shows the answers to the exercises given in the previous video.
4. Python Basics Level 3

1. Introduction
In this video, the author gives a brief introduction of conditions and loops.
2. Conditional Statements with Booleans
In this video, the author demonstrates how to conduct certain tests to get Boolean output.
3. Combine Different Conditional Statements
In this video, the author demonstrates how to combine different conditional statements.
4. Conditions with If
In this video, the author demonstrates conditional statements using the IF structure.
5. Else, Else If
This video shows more about the IF structure using Else, Elif (Else if).
6. For Loop
This video gives an overview of the For loop in Python.
7. While Loop
This video shows you how the While loop works.
8. Use Loops to Iterate on Python Lists
This video demonstrates how to use loops to iterate on Python lists.
9. Python Level 3: Exercises
In this video, the author gives a few exercises related to conditions and loops.
10. Python Level 3: Exercises - Solution
In this video, the author shows the answer of the exercises given in the previous video.
5. Python Basics Level 4

1. Introduction
In this video, the author gives a brief introduction to the lessons that will be covered in the coming videos.
2. Read from a File
In this video, the author demonstrates how to read from a file and then how to organize it.
3. Write to a File
This video demonstrates how to write to a file in Python.
4. Use a Python Module
This video demonstrates how to import and use a Python module.
5. Create Your Own Python Module
This video demonstrates how to create your own Python module.
6. Run a Python Script from the Terminal
This video demonstrates how to run a Python script from the terminal on different operating systems.
7. Python Level 4: Exercises
In this video, the author gives a few exercises to work on.
8. Python Level 4: Exercises - Solution
This video shows the answers of the exercises given in the previous video.
6. Extra: Python OOP

1. Introduction
In this video, the author gives an introduction of OOP and how to use it to write a program.
2. What Is OOP, What Are Classes
In this video, the author defines and gives a brief description of OOP and classes.
3. Create a Python Class
This video demonstrates how to create a class in Python.
4. Add Class Methods
This video demonstrates how to add functionalities to a class.
5. Create an Object (Instance) from Your Class
This video demonstrates how to create object (instance) from a class.
6. Organize Your OOP Files
This video shows how to organize OOP files in Python.
7. Inheritance - Derive a Class from Another Class
This video gives an overview of inheritance and demonstrates how to derive a class from another class.
8. Composition - Use a Class Inside Another Class
This video gives a brief introduction of the concepts of composition and shows you how to use a class inside another class.
7. Conclusion

1. Best Practices When Writing Python Code
In this video, the author suggests a few tips to follow while writing Python codes.
2. How to Go Further from Here
This video shows you what and how to pursue further in Python after this course is over.

This course for beginners will help you build a solid foundation in programming with Python 3. We will cover core concepts such as Python statements, variables, data types, lists, typecasting, comments, conditional statements, loops, file handling, OOP concepts, and more. A carefully structured course with live demonstrations to get you started.

Practical Python: Learn Python Basics Step by Step - Python 3

London

<article>
					<div>
						<h5>Python Beginners Course, 1-Day.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br />This course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom.
						<br />	This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language.
							<br />These concepts are daily used by programmers and is your first step to working as a programmer.
							<br />By the end, you'll be comfortable in programming Python code.
							<br />You will have done small projects.
							<br />This will serve for you as examples and samples that you can use to build larger projects.
						 
						<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 Beginners Certification
						<br /><b>Hours: </b>1 Day, 10am-5pm
						<br /><b>Download: </b>anaconda.com
						
				  	</p>
	    		</article> 
				
				<article>
					<div>
						<h5>Python Beginners Course, Course Outline.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br />
						<b>Session 1: Basics</b>
 
						<br />Python Data Types and Variables:
						Working with variables and its scope; Conversion and casting types in Python.
						<br />Operators and Expressions.
						 

						<br />Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else. 
						
						<br />Using Loops: The while, while-else. For loop; Jump statements: break, continue; Nesting loops.
<br />
						<br /><b>Session 2: Data Structures</b>
						 
						<br />Lists.
						<br />Tuples.
						<br />Sets.
						<br />Dictionary. Nested Dictionary.
						<br />Json Files.
<br />
						<br /><b>Session 3: Python Built-in functions</b> 
						<br />Strings Functions. 
						<br />Maths Functions.
						<br />Random Functions.
						<br />Python Date functions.
<br />
						<br /><b>Session 4: OOP: Using Modules, functions, classes</b>
						 
						<br />Creating and using custom Functions.
						
						<br />Using parameters and return values.

						<br />Introduction to Classes and Objects:
						<br />Creating a Class. Creating and using Objects. 
						<br />Class Constructors.
						<br />Inheritance. Overload.
<br />
						<br /><b>Session 5: Access SQL Database Via Python</b>
						 
						<br /><b>Connection details:</b> Connect to a database using access codes.
						<br /><b>Select Queries:</b> Retrieving records and iterating results sets, using variables and parameters in queries.
						<br /><b>Working with DDL comands: </b>Create a database, drop a database. Create a table, alter tables, drop a table.
						<br /><b>Working with DML Commands: </b>Insert, delete, update records.

						<br /><br /><br /><b>Session 6: Pandas Dataframe Basics</b>
						 
						<br />Getting data into a dataframe:
						<br />Dict to Dataframe, Dataframe to Dict.
						<br />Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets.
						<br />Dataframe basics:
						<br />Slicing Dataframes, Querying, filter and sort a dataframe,
						
						<br />Working with duplicates and null-values, Sampling, Group by, Join.
						
						
						
				  	</p>
	    		</article> 

			    <div>  
				     
	     
	               <div id="cincluded">
	                  <div>
	                     <h5>Python Beginners Course Materials</h5>
	                  </div>

	                  <article>
	                  <div>
	                     <ul>
	                        <li>Python Beginners Certificate on completion  </li>
							                  
						    <li>Python Beginners Notes</li>
							<li>Python Code Examples</li>
	                        <li>Practical Python Beginners exercises</li>
	                        
	                     </ul>
	                  </div>
						   
	                  </article>
	               </div>
			
				    <article>
					<div>
						<h5>More about Python</h5>
					</div>
					<div></div>
					<p>
							Python is the Easiest Programming Language to Learn 
				 				Anybody can learn how to use it and  entry-level coders get access to the industry in a 
									fast-tacked manner and can from there migrate to other languages.
								 <br />
								 Learning to code  is now more important than ever, since a growing number of application and <br />
								  digital products require programmers. <br />

								 Additionally, as an interpreted coding language, Python allows you to run each line of code <br />
								 after writing it, rather 
								 than other compiled languages, such as C++. <br />
								 This is particularly useful for beginners, as they can test their work and 
								  gain instant feedback, <br />
								  to make amendments where required and continuously improve. A Python Course will
								explain to you how to do this<br />
								  <br />
								 Python is a Versatile Coding Language <br />
								 Use it for : <br /> 
								 Data mining ,  Data analytics , Data visualisation ,  AI and machine learning,  Building apps ,
								 Web development and web application development ,  Developing games,  Quantitative and qualitative analysis,
								 Data Engineering,  A Python Course is the start of all of the above.
								 <br /><br />
								 Learning Python will Improve Your Job Prospects <br />
								 As the fastest-growing computer programming language in the world, 
								 Python is also one of the most in-demand jobs. According to 2022 LinkedIn data,   
								Python is the second most in-demand programming language, after Java.  
								All of this makes a Python Course essential. 
				  	</p>
	    		</article> 
					  
				    
					
					
					
				   <div id="booking">
	                  <div>
	                     <h5>Book the Python Beginners Course</h5>
	                  </div>
							 
 							<div id="eventbrite-widget-container-48024956939"></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>
					    		</div>
					    		<div>
					    			
					    				
					    			
					    		</div>
					    	</div>
	                     
					    </div>
					    </article>						
	               </div>
				   
				   
	            </div>

Python Beginners Course, 1-Day.
   
This course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. 
	This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. 
These concepts are daily used by programmers and is your first step to working as a programmer. 
By the end, you'll be comfortable in programming Python code. 
You will have done small projects. 
This will serve for you as examples and samples that you can use to build larger projects. 

Location: Instructor-led, Online. 
Our Style: Hands-on, Practical Course. 
Group Size: Max 4 people per group. 
Qualification: PCWorkshops Beginners Certification 
Hours: 1 Day, 10am-5pm 
Download: anaconda.com 
Python Beginners Course, Course Outline.
  Session 1: Basics 
Python Data Types and Variables: Working with variables and its scope; Conversion and casting types in Python. 
Operators and Expressions. 
Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else. 
Using Loops: The while, while-else. For loop; Jump statements: break, continue; Nesting loops.

 
Session 2: Data Structures 
Lists. 
Tuples. 
Sets. 
Dictionary. Nested Dictionary. 
Json Files.

 
Session 3: Python Built-in functions 
Strings Functions. 
Maths Functions. 
Random Functions. 
Python Date functions.

 
Session 4: OOP: Using Modules, functions, classes 
Creating and using custom Functions. 
Using parameters and return values. 
Introduction to Classes and Objects: 
Creating a Class. Creating and using Objects. 
Class Constructors. 
Inheritance. Overload.

 
Session 5: Access SQL Database Via Python 
Connection details: Connect to a database using access codes. 
Select Queries: Retrieving records and iterating results sets, using variables and parameters in queries. 
Working with DDL comands: Create a database, drop a database. Create a table, alter tables, drop a table. 
Working with DML Commands: Insert, delete, update records. 


Session 6: Pandas Dataframe Basics 
Getting data into a dataframe: 
Dict to Dataframe, Dataframe to Dict. 
Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets. 
Dataframe basics: 
Slicing Dataframes, Querying, filter and sort a dataframe, 
Working with duplicates and null-values, Sampling, Group by, Join. 
Python Beginners Course Materials
Python Beginners Certificate on completion
Python Beginners Notes
Python Code Examples
Practical Python Beginners exercises
More about Python
 Python is the Easiest Programming Language to Learn Anybody can learn how to use it and entry-level coders get access to the industry in a fast-tacked manner and can from there migrate to other languages. 
 Learning to code is now more important than ever, since a growing number of application and 
 digital products require programmers. 
 Additionally, as an interpreted coding language, Python allows you to run each line of code 
 after writing it, rather than other compiled languages, such as C++. 
 This is particularly useful for beginners, as they can test their work and gain instant feedback, 
 to make amendments where required and continuously improve. A Python Course will explain to you how to do this
 
 Python is a Versatile Coding Language 
 Use it for : 
 Data mining , Data analytics , Data visualisation , AI and machine learning, Building apps , Web development and web application development , Developing games, Quantitative and qualitative analysis, Data Engineering, A Python Course is the start of all of the above. 

 Learning Python will Improve Your Job Prospects 
 As the fastest-growing computer programming language in the world, Python is also one of the most in-demand jobs. According to 2022 LinkedIn data, Python is the second most in-demand programming language, after Java. All of this makes a Python Course essential. 
 

PCWorkshops

Online Course Creation

Programming Fundamentals

Programming Languages

Computer Skills

his course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. 
	This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. 
These concepts are daily used by programmers and is your first step to working as a programmer. 
By the end, you'll be comfortable in programming Python code. 
You will have done small projects. 
This will serve for you as examples and samples that you can use to build larger projects. 

Python Beginners Course, 1-Day

General admission

<strong>Get to grip with the foundations of Python Programming language</strong>
        <p>The Python Code Camp will help you learn Python programming and the concepts associated with it. If you are a beginner, this is the best way to start your coding journey.
Starting with an introduction to the Python language and its importance, this course will take you through the concept of inputs and decisions, and enable you to explore topics like functions, dictionaries, lists, and tuples in detail. You'll then advance to learning about the various classes and objects along with the different file input and output modes. Every topic concludes with a campfire activity that includes exercises and practical examples to help you understand the concepts better.
By the end of the course, you will have developed a solid foundation for getting started with Python programming.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Python-Code-Camp</p>
        <h2>What You Will Learn</h2><p>Get well-versed with the basics of Python Programming<br>Find out how you can simplify coding using functions in Python<br>Understand the implementation of classes and objects<br>Discover the different file input and output modes<br>Explore the different lists and tuples with the help of coding examples</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn the fundamentals of the Python programming language. Any beginner-level student will find this course useful.</p>
        <h2>Approach</h2><p>This hands-on course will help you with the concepts of Python programming using engaging exercises and coding examples.</p>
        <h2>Key Features</h2><p>Develop fundamental Python programming skills * Explore the different classes and objects in Python and learn to implement them * Understand how different functions work in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-code-camp</p>
        <h2>About the Author</h2><h3>Mark Lassoff</h3><p>Framework Tech, founded by the visionary Mark Lassoff, specializes in teaching digitally accessible technical skills to people just getting started in their technical careers, including web development, digital design, and other career paths enabled by technology. Framework Tech has bridged the gap between entertainment and education, creating a unique, immersive learning experience that resonates with students.

Their instructors are more than just tech-savvy professionals; they are educators first and foremost, handpicked for their unique ability to translate complex technological concepts into digestible, engaging lessons. Framework Tech continues to evolve, constantly innovating to stay at the forefront of the online learning landscape.</p>
        <h2>Course Outline</h2><h4>1. Code Camp Day 001: Getting Started with Python</h4><p></p><br><h4>2.  Input and Decisions</h4><p></p><br><h4>3.  Lists and Tuples</h4><p></p><br><h4>4. Dictionaries</h4><p></p><br><h4>5. Functions</h4><p></p><br><h4>6. Classes and Objects</h4><p></p><br><h4>7. More Class and Objects</h4><p></p><br><h4>8. File Input and Output</h4><p></p>

Get to grip with the foundations of Python Programming language
The Python Code Camp will help you learn Python programming and the concepts associated with it. If you are a beginner, this is the best way to start your coding journey.
Starting with an introduction to the Python language and its importance, this course will take you through the concept of inputs and decisions, and enable you to explore topics like functions, dictionaries, lists, and tuples in detail. You'll then advance to learning about the various classes and objects along with the different file input and output modes. Every topic concludes with a campfire activity that includes exercises and practical examples to help you understand the concepts better.
By the end of the course, you will have developed a solid foundation for getting started with Python programming. All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Python-Code-Camp
What You Will Learn
Get well-versed with the basics of Python Programming
Find out how you can simplify coding using functions in Python
Understand the implementation of classes and objects
Discover the different file input and output modes
Explore the different lists and tuples with the help of coding examples
Audience
This course is for anyone who wants to learn the fundamentals of the Python programming language. Any beginner-level student will find this course useful.
Approach
This hands-on course will help you with the concepts of Python programming using engaging exercises and coding examples.
Key Features
Develop fundamental Python programming skills * Explore the different classes and objects in Python and learn to implement them * Understand how different functions work in Python
Github Repo
https://github.com/packtpublishing/python-code-camp
About the Author
Mark Lassoff
Framework Tech, founded by the visionary Mark Lassoff, specializes in teaching digitally accessible technical skills to people just getting started in their technical careers, including web development, digital design, and other career paths enabled by technology. Framework Tech has bridged the gap between entertainment and education, creating a unique, immersive learning experience that resonates with students. Their instructors are more than just tech-savvy professionals; they are educators first and foremost, handpicked for their unique ability to translate complex technological concepts into digestible, engaging lessons. Framework Tech continues to evolve, constantly innovating to stay at the forefront of the online learning landscape.
Course Outline
1. Code Camp Day 001: Getting Started with Python

2. Input and Decisions

3. Lists and Tuples

4. Dictionaries

5. Functions

6. Classes and Objects

7. More Class and Objects

8. File Input and Output


Get to grip with the foundations of Python Programming language

Python Code Camp

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

The Ultimate Guide to Python Programming with Python 3.10

<h2 style="color: var(--text-heading); box-sizing: border-box;" id="isPasted" fr-original-style="color: var(--text-heading);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">This course at a glance</span></strong></h2><ul style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accredited by CPDQE</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Get a guide to becoming a professional Python developer</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Learn the basic Python structures: strings, lists, and dictionaries</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Know the Python Object-Oriented Programming (OOP) language</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Explore how from scratch to create a Python program</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Learn how to calculate, retrieve, and store information using variables</span></li></ul><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(38, 99, 82) !important;">A Python developer is a programmer who builds server-side web application logic. They create, maintain, and execute Python applications. Python developers are in high demand in the job market. The course will provide you with step-by-step instructions for becoming a Python developer. &nbsp;&nbsp;</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Throughout this course, you&rsquo;ll receive all the necessary instructions for pursuing a career in Python development. In the beginning, you&rsquo;ll be guided on how to get your first employment as a Python developer. This course will cover developing Python scripts to carry out automated tasks as well as how to create the fundamental Python structures. You&rsquo;ll also receive instructions on how to use fundamental programming constructs like loops and functions. Our professional instructor helps you equip you with theoretical and practical knowledge of Python to excel in this industry<b fr-original-style="" style="box-sizing: border-box;">.</b></p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">An expert instructor designed this &ldquo;Python &nbsp;Programming &rdquo; course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills.&nbsp;</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Hurry up. Enrol now!</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Accredited by</span></h3><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">This course is <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPDQE&nbsp;</strong>accredited, which serves as an impactful mechanism for skill enhancement.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Course Curriculum</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 1: Introduction to Python Programming from A-Z</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 2: Getting Familiar with Python</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 3: Python Basic Data Types</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 4: Python Operators</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 5: Python Advanced Data Types</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 6: Python Control Flow Part 1</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 7: Python Control Flow Part 2</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 8: Python Functions</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 9: User Input and Error Handling</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 10: Python Advanced Functions</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 11: Python Scripting and Libraries</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 12: NumPy</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 13: Pandas</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 14: Intro To OOP</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 15: Advanced OOP</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 16: Starting a Career in Python</strong></li></ul>

This course at a glance
Accredited by CPDQE
Get a guide to becoming a professional Python developer
Learn the basic Python structures: strings, lists, and dictionaries
Know the Python Object-Oriented Programming (OOP) language
Explore how from scratch to create a Python program
Learn how to calculate, retrieve, and store information using variables
A Python developer is a programmer who builds server-side web application logic. They create, maintain, and execute Python applications. Python developers are in high demand in the job market. The course will provide you with step-by-step instructions for becoming a Python developer. 
Throughout this course, you’ll receive all the necessary instructions for pursuing a career in Python development. In the beginning, you’ll be guided on how to get your first employment as a Python developer. This course will cover developing Python scripts to carry out automated tasks as well as how to create the fundamental Python structures. You’ll also receive instructions on how to use fundamental programming constructs like loops and functions. Our professional instructor helps you equip you with theoretical and practical knowledge of Python to excel in this industry.
An expert instructor designed this “Python Programming ” course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills. 
Hurry up. Enrol now!
Accredited by
This course is CPDQE accredited, which serves as an impactful mechanism for skill enhancement. 
Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.
CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.
Course Curriculum
Section 1: Introduction to Python Programming from A-Z
Section 2: Getting Familiar with Python
Section 3: Python Basic Data Types
Section 4: Python Operators
Section 5: Python Advanced Data Types
Section 6: Python Control Flow Part 1
Section 7: Python Control Flow Part 2
Section 8: Python Functions
Section 9: User Input and Error Handling
Section 10: Python Advanced Functions
Section 11: Python Scripting and Libraries
Section 12: NumPy
Section 13: Pandas
Section 14: Intro To OOP
Section 15: Advanced OOP
Section 16: Starting a Career in Python

LearnDrive UK

Python Scripting

You will learn how to become a Python developer through this course.



Python Programming


<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

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