<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Experienced Programmers and Systems Administrators.</p>Overview<p>Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices.  Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to:<br />? Create working Python scripts following best practices<br />? Use python data types appropriately<br />? Read and write files with both text and binary data<br />? Search and replace text with regular expressions<br />? Get familiar with the standard library and its work-saving modules<br />? Use lesser-known but powerful Python data types<br />? Create 'real-world', professional Python applications<br />? Work with dates, times, and calendars <br />? Know when to use collections such as lists, dictionaries, and sets<br />? Understand Pythonic features such as comprehensions and iterators<br />? Write robust code using exception handling</p><p>An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features.</p></div><div id="course-pills-2"><h4>An Overview of Python</h4><ul><li>What is python?<br />1 -- An overview of Python<br />What is python?<br />Python Timeline <br />Advantages/Disadvantages of Python <br />Getting help with pydoc</li></ul><h4>The Python Environment</h4><ul><li>Starting Python <br />Using the interpreter <br />Running a Python script <br />Python scripts on Unix/Windows<br />Editors and IDEs</li></ul><h4>Getting Started</h4><ul><li>Using variables <br />Built-in functions <br />Strings <br />Numbers<br />Converting among types <br />Writing to the screen <br />Command line parameters</li></ul><h4>Flow Control</h4><ul><li>About flow control <br />White space <br />Conditional expressions <br />Relational and Boolean operators <br />While loops <br />Alternate loop exits</li></ul><h4>Sequences</h4><ul><li>About sequences <br />Lists and list methods <br />Tuples <br />Indexing and slicing <br />Iterating through a sequence <br />Sequence functions, keywords, and operators <br />List comprehensions <br />Generator Expressions<br />Nested sequences </li></ul><h4>Working with files</h4><ul><li>File overview<br />Opening a text file <br />Reading a text file <br />Writing to a text file<br />Reading and writing raw (binary) data<br />Converting binary data with struct</li></ul><h4>Dictionaries and Sets</h4><ul><li>About dictionaries <br />Creating dictionaries <br />Iterating through a dictionary <br />About sets <br />Creating sets <br />Working with sets</li></ul><h4>Functions</h4><ul><li>Defining functions <br />Parameters  <br />Global and local scope<br />Nested functions <br />Returning values</li></ul><h4>Sorting</h4><ul><li>The sorted() function<br />Alternate keys <br />Lambda functions <br />Sorting collections<br />Using operator.itemgetter() <br />Reverse sorting</li></ul><h4>Errors and Exception Handling</h4><ul><li>Syntax errors <br />Exceptions <br />Using try/catch/else/finally<br />Handling multiple exceptions <br />Ignoring exceptions</li></ul><h4>Modules and Packages</h4><ul><li>The import statement <br />Module search path <br />Creating Modules <br />Using packages<br />Function and Module aliases</li></ul><h4>Classes</h4><ul><li>About o-o programming<br />Defining classes<br />Constructors<br />Methods<br />Instance data<br />Properties<br />Class methods and data</li></ul><h4>Regular Expressions</h4><ul><li>RE syntax overview <br />RE Objects <br />Searching and matching <br />Compilation flags <br />Groups and special groups<br />Replacing text<br />Splitting strings</li></ul><h4>The standard library</h4><ul><li>The sys module <br />Launching external programs <br />Math functions <br />Random numbers <br />The string module<br />Reading CSV data</li></ul><h4>Dates and times</h4><ul><li>Working with dates and times<br />Translating timestamps<br />Parsing dates from text<br />Formatting dates<br />Calendar data</li></ul><h4>Working with the file system</h4><ul><li>Paths, directories, and filenames <br />Checking for existence<br />Permissions and other file attributes<br />Walking directory trees <br />Creating filters with fileinput<br />Using shutil for file operations<br />17 ? Advanced data handling<br />Defaultdict and Counter<br />Prettyprinting data structures<br />Compressed archives (zip, gzip, tar, etc.)<br />Persistent data</li></ul><h4>Advanced data handling</h4><ul><li>Defaultdict and Counter<br />Prettyprinting data structures<br />Compressed archives (zip, gzip, tar, etc.)<br />Persistent data</li></ul><h4>Network services</h4><ul><li>Grabbing web content<br />Sending email<br />Using SSH for remote access<br />Using FTP</li></ul><h4>Writing real-life applications</h4><ul><li>Parsing command-line options<br />Detecting the current platform<br />Trapping signals<br />Implementing logging<br />Python Timeline <br />Advantages/Disadvantages of Python <br />Getting help with pydoc</li></ul></div>

Nexus Human

Computing Skills

Programming Fundamentals

Computer Programming

Computer Skills

Python Scripting

Trainers Course

Python 3 Essentials

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This introductory-level Python course is geared for experienced users who want to use Python in web development projects, or  system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.</p>Overview<p>This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom.  Throughout the hands-on course students, will learn to write essential Python scripts using the most current and efficient skills and techniques.<br />Working in a hands-on learning environment, guided by our expert team, attendees will learn to:<br />Create working Python scripts following best practices<br />Use python data types appropriately<br />Read and write files with both text and binary data<br />Search and replace text with regular expressions<br />Get familiar with the standard library and its work-saving modules<br />Use lesser known but powerful Python data types<br />Create 'real-world', professional Python applications<br />Work with dates, times, and calendars<br />Know when to use collections such as lists, dictionaries, and sets<br />Understand Pythonic features such as comprehensions and iterators<br />Write robust code using exception handling</p><p>Mastering Python Programming is an introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.  This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar.  Students will immediately be able to use Python to complete tasks in the real world.</p></div><div id="course-pills-2"><h4>An overview of Python </h4><ul><li>What is python? </li><li>Python Timeline  </li><li>Advantages/Disadvantages of Python  </li><li>Getting help with pydoc  </li></ul><h4>The Python Environment </h4><ul><li>Starting Python  </li><li>Using the interpreter  </li><li>Running a Python script  </li><li>Python scripts on Unix/Windows </li><li>Editors and IDEs  </li></ul><h4>Getting Started </h4><ul><li>Using variables  </li><li>Builtin functions  </li><li>Strings  </li><li>Numbers </li><li>Converting among types  </li><li>Writing to the screen  </li><li>Command line parameters  </li></ul><h4>Flow Control </h4><ul><li>About flow control  </li><li>White space  </li><li>Conditional expressions  </li><li>Relational and Boolean operators  </li><li>While loops  </li><li>Alternate loop exits </li></ul><h4>Array types </h4><ul><li>About array types (AKA sequences) </li><li>Lists and list methods  </li><li>Tuples  </li><li>Indexing and slicing  </li><li>Iterating through a sequence </li><li>Nested sequences  </li><li>Sequence functions, keywords, and operators  </li><li>List comprehensions  </li><li>Generator Expressions </li></ul><h4>Working with files </h4><ul><li>File overview </li><li>Opening a text file  </li><li>Reading a text file  </li><li>Writing to a text file </li><li>Reading and writing raw (binary) data </li><li>Converting binary data with struct </li></ul><h4>Dictionaries and Sets </h4><ul><li>About dictionaries  </li><li>Creating dictionaries  </li><li>Iterating through a dictionary  </li><li>About sets  </li><li>Creating sets  </li><li>Working with sets  </li></ul><h4>Functions </h4><ul><li>Defining functions  </li><li>Parameters   </li><li>Global and local scope </li><li>Nested functions  </li><li>Returning values  </li></ul><h4>Sorting </h4><ul><li>The sorted() function </li><li>Alternate keys  </li><li>Lambda functions  </li><li>Sorting collections </li><li>Using operator.itemgetter()  </li><li>Reverse sorting </li></ul><h4>Errors and Exception Handling </h4><ul><li>Syntax errors  </li><li>Exceptions  </li><li>Using try/catch/else/finally </li><li>Handling multiple exceptions  </li><li>Ignoring exceptions  </li></ul><h4>Modules and Packages </h4><ul><li>The import statement  </li><li>Module search path  </li><li>Creating Modules  </li><li>Using packages </li><li>Function and Module aliases  </li></ul><h4>An Introduction to Python Classes </h4><ul><li>About o-o programming </li><li>Defining classes </li><li>Constructors </li><li>Methods </li><li>Instance data </li><li>Properties </li><li>Class methods and data </li></ul><h4>Regular Expressions </h4><ul><li>RE syntax overview  </li><li>RE Objects  </li><li>Searching and matching  </li><li>Compilation flags  </li><li>Groups and special groups </li><li>Replacing text </li><li>Splitting strings </li></ul><h4>Using the Standard Library </h4><ul><li>The sys module  </li><li>Launching external programs  </li><li>Math functions  </li><li>Random numbers  </li><li>Reading CSV data </li></ul><h4>Dates and Times </h4><ul><li>Working with dates and times </li><li>Translating timestamps </li><li>Parsing dates from text </li><li>Formatting dates </li><li>Calendar data </li></ul><h4>Working with the File System </h4><ul><li>Paths, directories, and filenames  </li><li>Checking for existence </li><li>Permissions and other file attributes </li><li>Walking directory trees  </li><li>Creating filters with fileinput </li><li>Using shutil for file operations </li></ul><h4>Advanced Data Handling </h4><ul><li>Defaultdict and Counter </li><li>Prettyprinting data structures </li><li>Compressed archives (zip, gzip, tar, etc.) </li><li>Persistent data </li></ul><h4>Network Programming </h4><ul><li>Using requests </li><li>Grabbing web content </li><li>Sending email </li><li>Using SSH for remote access </li><li>Using FTP </li></ul><h4>Writing real-life applications </h4><ul><li>Reading input files a la Unix </li><li>Parsing command-line options </li><li>Detecting the current platform </li><li>Implementing logging </li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Mastering Python Programming (TTPS4820) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Mastering Python Programming (TTPS4820) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Mastering Python Programming (TTPS4820)

<div id="course-pricing" fr-original-style="" style="box-sizing: border-box;">
          <p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">The Complete Python Course - Beginner to Expert is an extensive learning program designed to take participants from novice to proficient Python programmers. Throughout the course, learners will embark on a comprehensive journey covering fundamental Python concepts and gradually progressing to advanced topics.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">The course begins with an introduction to Python programming, providing an overview of its syntax, data types, and basic operations. Participants will gain a solid understanding of Python fundamentals, including variables, operators, and control flow structures.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">As the course progresses, learners will delve deeper into advanced Python concepts, such as error handling, functions, and object-oriented programming. They will explore the intricacies of Python libraries, including NumPy and Pandas, for data manipulation and analysis.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Furthermore, participants will receive invaluable guidance on launching a successful career in Python, including tips on freelancing, networking, and building a strong professional brand. By the end of the course, learners will be equipped with the knowledge and skills to pursue various career opportunities in Python development, data analysis, machine learning, and more.</span></p><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Learning Outcome of &nbsp;Complete Python Course - Beginner to Expert</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Gain a thorough grasp of Python programming from beginner to advanced levels.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn Python syntax, covering comments, line structure, and indentation.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Understand basic data types like strings, integers, floats, and booleans, and how to manipulate them.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore Python operators, including comparison, arithmetic, and logical operators.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Delve into advanced data types such as sets, lists, tuples, and dictionaries.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Master control flow structures like conditional statements and loops.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Develop proficiency in defining and using functions, understanding variable scope, and using docstrings.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn user input and error handling techniques, including syntax errors and exceptions.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore advanced topics like lambda functions, iterators, generators, and functional programming.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Discover scripting and libraries usage, including IDEs, text editors, and importing scripts.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore NumPy for numerical computing, including arrays and data manipulation.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Master data manipulation with Pandas, including dealing with missing values.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Get an introduction to object-oriented programming (OOP) concepts.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore advanced OOP topics like decorators, inheritance, and class methods.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Receive guidance on starting a career in Python, including freelancing and networking.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Key Features of the Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A CPD certificate that is recognised worldwide.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A great online learning experience.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Interesting and unique online materials and activities.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Expert guidance and support from the field leaders.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Access to the study resources anytime you want.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Friendly and helpful customer service and admin support by email, phone, and chat from Monday through Friday.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Get a year-long access to the course.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Who is this course for</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">This &nbsp;Complete Python Course - Beginner to Expert Course is suitable for -</span></p></div><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Individuals new to programming</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Students seeking Python proficiency</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Professionals transitioning to Python</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Anyone aiming for expertise in Python</li></ul><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Requirements</span></h2><div id="course-pricing" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Open to all interested in Python.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">&nbsp;No prerequisites; suitable for individuals from any academic background.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Accessible course materials from any internet-enabled device.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">CPD Certificate from Course Gate</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for &pound;9 and the hard copy for &pound;15. Also, you can order both PDF and hardcopy certificates for &pound;22.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Career path</span></h2></div><div fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Python Developer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Analyst</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Software Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Machine Learning Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Web Developer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Scientist</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Automation Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Cybersecurity Analyst</li></ul>
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Course Gate

Unlock your potential in Python programming with our Complete Python Course - Beginner to Expert! From mastering syntax to advanced data analysis, machine learning, and web development, this comprehensive course equips you with essential programming skills. Start your journey today and become a proficient Python developer!

Complete Python Course - Beginner to Expert

General Admission

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">The Python Certification - Beginner to Expert course is a comprehensive educational journey designed to transform students from novices into proficient Python programmers. Python&#39;s popularity in the digital era stems from its simplicity, versatility, and broad applicability across various domains, making it an ideal language for individuals starting their programming journey or those looking to enhance their existing skills.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">This meticulously structured course is divided into 18 detailed sections, each focusing on a specific aspect of Python programming. It begins with the fundamentals, such as setting up the programming environment and writing simple "Hello World" scripts, and progresses through more complex topics like database management and task automation. The curriculum is designed to be sequential, ensuring a smooth transition from basic concepts to advanced programming techniques.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">In addition to the rich curriculum, students benefit from the expertise of seasoned instructors and the support of an engaged online community. These resources are invaluable for overcoming challenges and fostering a collaborative learning environment.&nbsp;</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">The Python Certification - Beginner to Expert course is more than just a programming class; it&#39;s a gateway to the tech industry and a stepping stone for personal and professional growth in the digital age. Whether one&#39;s goal is to secure a dream job, advance in their career, or simply broaden their technical skill set, this course lays the groundwork for a successful future in technology.</span></p><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Learning Outcome of Python Certification - Beginner to Expert&nbsp;</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Master the fundamentals of Python programming from installation to advanced concepts.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Develop proficiency in writing code using Python syntax and data structures.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Understand conditional branching, exception handling, and file manipulation in Python.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Explore advanced topics such as sending emails, working with databases, and scheduling tasks.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Gain hands-on experience in coding through practical exercises and projects.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Acquire the necessary skills to advance your career or pursue further studies in Python programming.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Key Features of the Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">A CPD certificate that is recognised worldwide.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">A great online learning experience.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Interesting and unique online materials and activities.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Expert guidance and support from the field leaders.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Access to the study resources anytime you want.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Friendly and helpful customer service and admin support by email, phone, and chat from Monday through Friday.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Get a year-long access to the course.</span></li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Topics Covered in This Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to Python Programming</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Getting Started With Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Conditional Branching With Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Importing External/Internal Library In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Project Rock Paper And Scissors</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Strings Operation In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Date And Time In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">File Handling, Read And Write Using Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Storage Structures: Tuple, List, And Dictionary</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Writing User Functions In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Sending Mail</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Import Tricks In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Import Operating System And Platform</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Exceptions Handling In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Installing Packages And Scheduling In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Database In Python Using SQLite</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Running Program From Command Prompt And Jupyter Notebook</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Who is this course for</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Python Certification - Beginner to Expert is ideal for individuals who are new to programming or have minimal experience with Python. Whether you&#39;re a student looking to expand your coding skills, an aspiring developer seeking to enter the tech industry, or a professional aiming to enhance your programming proficiency, this course provides a comprehensive learning path tailored to beginners in Python programming.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Requirements</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">No prerequisites; suitable for individuals from any academic background.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accessible course materials from any internet-enabled device.</span></li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">CPD Certificate from Course Gate</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for &pound;9 and the hard copy for &pound;15. Also, you can order both PDF and hardcopy certificates for &pound;22.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Career path</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Python Developer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Software Engineer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Analyst</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Web Developer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Scientist</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">IT Consultant</li></ul>

Python Certification - Beginner to Expert offers a comprehensive journey from novice to proficient Python programmer. This course is structured into 18 sections, covering essential topics such as software installation, conditional branching, file handling, and database management.

Python Certification - Beginner to Expert

<p>Become a python programmer now at a minimal cost with endorsed certification. The Python course is endorsed by QLS with extra courses in a bundle.</p><p>It doesn't matter if you are a Python programmer or not, a data scientist or not, or even if you can write code or not. This course will guide you through all the necessary topics that are required to become a successful python programmer.</p><p>In today's world maybe you are seeing our courses in spite of the Artificial Intelligence existence and Python is the language that made it easier to write code for Machine Learning, Artificial Intelligence or Neural Networks. In the field of data science python is the tool mostly used.</p><p>If you look into our course contents, it's designed to walk you through basic to advanced topics. Topics that are required to become a python programmer to data science beginning stage. It's not over yet. There is some career guidance also for your future career path.</p><p>We're not leaving you after the guidance also. We'll be providing you with an assessment system that can assist you to judge your python skills.</p><p>Last but not least, the QLS (The Quality Endorsed Scheme) endorsed certificate will be awarded upon successful completion.</p><p>We're welcoming you to take our courses and experience our interactive quizzes, adaptive teaching videos, and personalised learning plans that make us different from other platforms.</p><p>Enrol now today.</p><p>This bundle package includes:</p><ul><li>Python Programming: Beginner To Expert - with endorsed certificate</li><li>5 additional CPD accredited courses -<br /><ol><li>Easy to Advanced Data Structures</li><li>Mastering SQL Programming</li><li>Java Programming: Beginners to Advanced</li><li>SAS Programming Basic to Advanced</li><li>Getting Started with Julia Programming</li></ol></li></ul><p><strong>Why People Enrol This Course from One Education:</strong></p><ul><li>Receive an Quality Licence Scheme-endorsed certificate upon successful completion</li><li>5 additional CPD accredited courses to enrich your knowledge and skills</li><li>Learning materials of our course contains engaging voiceover and visual elements for your comfort</li><li>Get 24/7 access to all course content for a full year</li><li>Complete the course at your own pace</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li><li>Efficient assessments and instant results upon completion of our course</li></ul><p>In this Python course journey will start from the very basics where you'll get the initial knowledge about python and its run time environments. After mastering the basic ideas our course will move on to the data types, iterations, conditional statements, basic data structures and algorithms and their understandings as well. Meanwhile, you're growing your capability to the next level and the course will pivot you to some advanced topics such as sets, tuples lists etc. This you'll recognise some advanced data structures, algorithms and Object Oriented concepts as well. And yes, a clear explanation will be the finishing touch. These data structures are often used in the field of Data Science, Artificial Intelligence and Machine Learning.</p><p>The course will end after providing you with some career suggestions. Please consider the below listings as our course contents and extra courses.</p><p><strong>Course Curriculum:</strong></p><p>Here is a curriculum breakdown of the Python Programming: Beginner To Expert:</p><p><strong>Module 01: Introduction to Python Programming from A-Z</strong></p><ul><li>Intro To Python Section Overview</li><li>What is Python Programming</li><li>Who is This Course For</li></ul><p><strong>Module 02: Getting Familiar with Python</strong></p><ul><li>Getting Familiar with Python Section Overview</li><li>Installing on Windows</li><li>Anaconda and Jupyter Notebooks Part 1</li><li>Anaconda and Jupyter Notebooks Part 2</li><li>Comments</li><li>Line Structure</li><li>Line Structure Exercise</li><li>Joining Lines</li><li>Multiple Statements on a Single Line</li><li>Indentation</li></ul><p><strong>Module 03: Basic Data Types</strong></p><ul><li>Basic Data Types Section Overview</li><li>String Overview</li><li>String Manipulation</li><li>String Indexing</li><li>String Slicing</li><li>Printing</li><li>Integers and Floats</li><li>Booleans</li><li>Mini Project 1 : Letter Counter</li></ul><p><strong>Module 04: Python Operators</strong></p><ul><li>Comparison Operators</li><li>Arithmetic Operators</li><li>Assignment Operators</li><li>Logical Operators</li><li>Identity Operators</li><li>Membership Operators</li><li>Bitwise Operators</li></ul><p><strong>Module 05: Advanced Data Types</strong></p><ul><li>Advanced Data Types Section Overview</li><li>Sets</li><li>List Overview</li><li>List Slicing and Indexing</li><li>Tuples</li><li>Dictionaries</li><li>When to use each one?</li><li>Compound Data Types</li></ul><p><strong>Module 06: Control Flow Part 1</strong></p><ul><li>Control Flow Part 1 Section Overview</li><li>Intro to Control Flow</li><li>Basic Conditional Statements</li><li>More Conditional Statements</li><li>For Loops</li><li>While Loops</li></ul><p><strong>Module 07: Control Flow Part 2</strong></p><ul><li>Control Flow Part 2 Section Overview</li><li>Break Statements</li><li>Continue Statements</li><li>Zip Function</li><li>Enumerate Function</li><li>List Comprehension</li></ul><p><strong>Module 08: Python Functions</strong></p><ul><li>Functions Section Overview</li><li>Intro to Functions</li><li>Defining Functions</li><li>Variable Scope</li><li>Doc Strings</li></ul><p><strong>Module 09: User Input and Error Handling</strong></p><ul><li>User Input and Error Handling Section Overview</li><li>Introduction to error handling</li><li>User Input</li><li>Syntax Errors</li><li>Exceptions</li><li>Handling Exceptions Part 1</li><li>Handling Exceptions Part 2</li></ul><p><strong>Module 10: Python Advanced Functions</strong></p><ul><li>Advanced Functions Section Overview</li><li>Lambda Functions</li><li>Functions args and kwargs</li><li>Iterators</li><li>Generators and Yield</li><li>Map Function</li><li>Filter Function</li></ul><p><strong>Module 11: Python Scripting and Libraries</strong></p><ul><li>Scripting and Libraries Section Overview</li><li>What is a script</li><li>What is an IDE</li><li>What is a text editor?</li><li>From Jupyter Notebook to VScode Part 1</li><li>From Jupyter Notebook to VScode Part 2</li><li>Importing Scripts</li><li>Standard Libraries</li><li>Third Party Libraries</li></ul><p><strong>Module 12: NumPy</strong></p><ul><li>NumPy Section Overview</li><li>Intro to NumPy</li><li>Why use NumPy?</li><li>NumPy Arrays</li><li>Reshaping, Accessing, and Modifying</li><li>Slicing and Copying</li><li>Inserting, Appending, and Deleting</li><li>Array Logical Indexing</li><li>Broadcasting</li></ul><p><strong>Module 13: Pandas</strong></p><ul><li>Intro to Pandas</li><li>Pandas Series</li><li>Pandas Series Manipulation</li><li>Pandas DataFrame</li><li>Pandas DataFrame Manipulation</li><li>Dealing with Missing Values</li></ul><p><strong>Module 14: Introduction to OOP</strong></p><ul><li>Functional vs OOP</li><li>OOP Key Definitions</li><li>Create your First Class</li><li>How to Create and Use Objects</li><li>How to Modify Attributes</li></ul><p><strong>Module 15: Advanced OOP</strong></p><ul><li>Decorators</li><li>Property Decorator</li><li>Class Method Decorator</li><li>Static Methods</li><li>Inheritance from A to Z</li></ul><p><strong>Module 16: Starting a Career in Python</strong></p><ul><li>Career Section Overview</li><li>Getting Started with Freelancing</li><li>Building A Brand</li><li>Personal Branding</li><li>Importance of Having Website/Blog</li><li>Do's and Don'ts of Networking</li><li>Top Freelance Websites</li><li>Creating A Developer Resume</li></ul><p><strong>Certificate of Achievement</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the course, learners will get an endorsed certificate (included with the course) delivered right at their doorstep by post, without paying a single penny! Note that learners residing outside the UK have to pay a £10 postage charge.</p><p><strong>For Additional Courses</strong></p><p>For the additional Quality Licence Scheme endorsed certificates from the additional courses, you have to pay the fees based on the level of each course:</p><ul><li>No Level- £29</li><li>Level 1 - £29</li><li>Level 2 - £59</li><li>Level 3 - £69</li><li>Level 4 - £79</li><li>Level 5 - £99</li><li>Level 6 - £109</li><li>Level 7 - £119</li></ul><p><strong>CPD Accredited Certification from One Education</strong></p><p>After successfully completing the courses under this course, you will also qualify for CPD Accredited Certificates for each of the courses. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post at £15.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Just want to start a programming career</li><li>Working with data science but wants to start a journey in python programming</li><li>Individuals who wants to build their career in the python programming industry</li><li>Individuals from any age and any occupations</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for the course, with enrollment open to anyone!<strong> Anyone and everyone</strong> with a knack for learning can enrol this course without any hesitation.</p><p>Learn online from any internet device, including your computer, tablet or smartphone. Study when it suits you and complete the course at your own pace.</p><p>All students must have a passion for learning and literacy, as well as being over the age of 16.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Python is among the most famous programming languages. Widely used in different fields of the IT industry. Data science, AI, and ML are putting their footprint in every sector. So, individuals who are capable of python would be standing straight in front of these huge opportunities.</p>
                        </div>

One Education

Python Level 7 QLS Endorsed Course

<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>

Packt

Python

Programming

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)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.</p>Overview<p>Working in a hands-on learning environment, guided by our expert team, attendees will learn to:<br />Understand how data analysts and scientists gather and analyze data<br />Perform data analysis and data wrangling using Python<br />Combine, group, and aggregate data from multiple sources<br />Create data visualizations with pandas, matplotlib, and seaborn<br />Apply machine learning (ML) algorithms to identify patterns and make predictions<br />Use Python data science libraries to analyze real-world datasets<br />Use pandas to solve common data representation and analysis problems<br />Build Python scripts, modules, and packages for reusable analysis code<br />Perform efficient data analysis and manipulation tasks using pandas<br />Apply pandas to different real-world domains with the help of step-by-step demonstrations<br />Get accustomed to using pandas as an effective data exploration tool.</p><p>Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.</p></div><div id="course-pills-2"><h4>Introduction to Data Analysis</h4><ul><li>Fundamentals of data analysis</li><li>Statistical foundations</li><li>Setting up a virtual environment</li></ul><h4>Working with Pandas DataFrames</h4><ul><li>Pandas data structures</li><li>Bringing data into a pandas DataFrame</li><li>Inspecting a DataFrame object</li><li>Grabbing subsets of the data</li><li>Adding and removing data</li></ul><h4>Data Wrangling with Pandas</h4><ul><li>What is data wrangling?</li><li>Collecting temperature data</li><li>Cleaning up the data</li><li>Restructuring the data</li><li>Handling duplicate, missing, or invalid data</li></ul><h4>Aggregating Pandas DataFrames</h4><ul><li>Database-style operations on DataFrames</li><li>DataFrame operations</li><li>Aggregations with pandas and numpy</li><li>Time series</li></ul><h4>Visualizing Data with Pandas and Matplotlib</h4><ul><li>An introduction to matplotlib</li><li>Plotting with pandas</li><li>The pandas.plotting subpackage</li></ul><h4>Plotting with Seaborn and Customization Techniques</h4><ul><li>Utilizing seaborn for advanced plotting</li><li>Formatting</li><li>Customizing visualizations</li></ul><h4>Financial Analysis - Bitcoin and the Stock Market</h4><ul><li>Building a Python package</li><li>Data extraction with pandas</li><li>Exploratory data analysis</li><li>Technical analysis of financial instruments</li><li>Modeling performance</li></ul><h4>Rule-Based Anomaly Detection</h4><ul><li>Simulating login attempts</li><li>Exploratory data analysis</li><li>Rule-based anomaly detection</li></ul><h4>Getting Started with Machine Learning in Python</h4><ul><li>Learning the lingo</li><li>Exploratory data analysis</li><li>Preprocessing data</li><li>Clustering</li><li>Regression</li><li>Classification</li></ul><h4>Making Better Predictions - Optimizing Models</h4><ul><li>Hyperparameter tuning with grid search</li><li>Feature engineering</li><li>Ensemble methods</li><li>Inspecting classification prediction confidence</li><li>Addressing class imbalance</li><li>Regularization</li></ul><h4>Machine Learning Anomaly Detection</h4><ul><li>Exploring the data</li><li>Unsupervised methods</li><li>Supervised methods</li><li>Online learning</li></ul><h4>The Road Ahead</h4><ul><li>Data resources</li><li>Practicing working with data</li><li>Python practice</li></ul></div>

Predictive Analytics

Big Data Analytics

Data Science

Data Analysis

Data Skills

Data Analyst

Hands-on Data Analysis with Pandas (TTPS4878)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This in an introductory-level course geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies. Attendees should have prior basic Python scripting experience. Students should have some familiarity with tools to be used in this course: PyCharm, Jupyter Notebook and basic GIT.</p>Overview<p>Working within in a hands-on learning environment students will learn to:<br />Become proficient with pytest from day one by solving real-world testing problems<br />Use pytest to write tests more efficiently<br />Scale from simple to complex and functional testing<br />Write and run simple and complex tests<br />Organize tests in fles and directories<br />Find out how to be more productive on the command line<br />Markers and how to skip, xfail and parametrize tests<br />Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch<br />Convert unittest suites to pytest using little-known techniques</p><p>The pytest framework is simple to use but powerful enough to cover complex testing integration scenarios. PyTest is considered by many to be the true Pythonic approach to testing in Python. Geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies, Test Automation with Python is a hands-on, two day Python testing course that provides students with the skills required to get started with PyTest right away. Participnats will learn how to get the most out of it in their daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. Students will also learn how to use pytest in existing unittestbased test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily.</p></div><div id="course-pills-2"><h4>Python Refresher</h4><ul><li>Python Overview</li><li>Python Basics</li><li>Python Lab</li></ul><h4>Introducing PyTest</h4><ul><li>Why Spend time writing test</li><li>UnitTest Module</li><li>Why PyTest?</li><li>Introductory Lab</li></ul><h4>Writing and Running Test</h4><ul><li>Installing PyTest</li><li>Writing and Running Tests</li><li>Organizing files and packages</li><li>Command Line options</li><li>Configure pytest.ini</li><li>Install and Config Lab</li></ul><h4>Markers and Parameters</h4><ul><li>Mark Basics</li><li>Built-in marks</li><li>Parameterization</li><li>Markers and Parameters Lab</li></ul><h4>Fixtures</h4><ul><li>Introduction to Fixtures</li><li>Sharing fixtures with conftest.py files</li><li>Scopes</li><li>Autouse</li><li>Parameterizing fixtures</li><li>Using marks from fixtures</li><li>Built-in fixtures</li><li>Best Practices</li><li>Fixtures Lab</li><li>Fixtures Lab 2</li></ul><h4>Plugins</h4><ul><li>Finding and installing plugins</li><li>Overview of plugins</li><li>Plugin Lab</li></ul><h4>From UnitTest to PyTest</h4><ul><li>Use PyTest as a Test Runner</li><li>Convert asserts with unitest2pytest</li><li>Handling setup/teardown</li><li>Managing test hierarchies</li><li>Refactoring test utilities</li><li>Migration strategies</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Test Automation with Python  (TTPS4832) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Test Automation with Python  (TTPS4832) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Software Testing & QA

Automation Testing

Certificate in Teaching Program (CTP)

Train the Trainer (TTT)

Teaching & Training

Test Automation with Python  (TTPS4832)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This is an Introductory level course for experienced Linux system administrators, DevOps engineers, infrastructure automation engineers, and systems design engineers.  Ideally students should have familiarity with basic Python scripting.  Attendees without programming skills can follow along with the scripting portion of the labs.</p>Overview<p>This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Working in a hands-on learning environment led by our expert practitioner attendees will explore how to:<br />Describe Ansible concepts and install Red Hat Ansible Engine (optional - we can pre-install is as well if desired, depending on the audience)<br />Deploy Ansible and Configure Ansible to manage hosts and run ad hoc Ansible commands.<br />Implement playbooks<br />Write a simple Ansible playbook and run it to automate tasks on multiple managed hosts.<br />Manage variables and facts<br />Write playbooks that use variables to simplify management of the playbook and facts to reference information about managed hosts.<br />Implement task control; Manage task control, handlers, and task errors in Ansible playbooks.<br />Deploy files to managed hosts<br />Deploy, manage, and adjust files on hosts managed by Ansible.<br />Manage large projects<br />Write playbooks that are optimized for larger, more complex projects.<br />Simplify playbooks with roles<br />Use Ansible roles to develop playbooks more quickly and to reuse Ansible code.<br />Troubleshoot Ansible<br />Troubleshoot playbooks and managed hosts.<br />Automate Linux administration tasks<br />Automate common Linux system administration tasks with Ansible</p><p>This lab-intensive course is geared toward those responsible for automation of configuration management; consistent and repeatable application deployment; provisioning and deployment of development, testing, and production servers; and integration with DevOps CI/CD workflows.  Throughout the course you will explore core Ansible features such as automatic provisioning, configuration management, service deployment and operational processes.</p></div><div id="course-pills-2"><h4>Ansible Overview</h4><ul><li>Overview of Architecture</li><li>Overview of Deployments</li><li>Inventory</li></ul><h4>Deploying Ansible</h4><ul><li>Installing</li><li>Configuration Files</li><li>Running Ad Hoc Commands</li><li>Dynamic Inventory</li></ul><h4>Playbooks</h4><ul><li>Writing YAML Files</li><li>Modules</li></ul><h4>Variables and Inclusions</h4><ul><li>Variables</li><li>Facts</li><li>Inclusions</li></ul><h4>Task Control</h4><ul><li>Constructing Flow Control</li><li>Handlers</li><li>Tags</li><li>Handling Errors</li></ul><h4>Jinja2 Templates</h4><ul><li>Jinja2 Templates</li><li>Jinja2 Templates</li></ul><h4>Roles</h4><ul><li>Role Structure</li><li>Creating Roles</li><li>Deploying Roles with Ansible Galaxy</li></ul><h4>Optimizing Ansible</h4><ul><li>Configuring Connection Types</li><li>Configuring Delegation</li><li>Configuring Parallelism</li></ul><h4>Ansible Vault</h4><ul><li>Configuring Ansible Vault</li><li>Executing with Ansible Vault</li></ul><h4>Troubleshooting Ansible</h4><ul><li>Troubleshooting Playbooks</li><li>Troubleshooting Managed Hosts</li></ul><h4>Ansible Tower</h4><ul><li>Ansible Tower overview</li><li>Installing</li><li>Account management</li><li>Hosts</li><li>Jobs</li></ul><h4>Optional: Ansible in a DevOps Environment</h4><ul><li>Provisioning Vagrant Machines</li><li>Deploying Vagrant in a DevOps Environment</li><li>Deploying Docker in a DevOps Environment</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Introduction to Ansible: Automation with Ansible (TTDV7580) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Introduction to Ansible: Automation with Ansible (TTDV7580) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Introduction to Ansible: Automation with Ansible (TTDV7580)

Automation

Get up to speed with automating repetitive tasks with Python

Complete Python Scripting for Automation

<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>

LearnDrive UK

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



Python Programming


Redhill

<h3><b>CCNP training course description</b></h3>
        <p>The Implementing and Operating Cisco Enterprise
Network Core Technologies (ENCOR) v1.2 course
provides the knowledge and skills needed to configure,
troubleshoot, and manage enterprise wired and
wireless networks. You'll learn to implement security
principles within an enterprise network and how to
overlay network design using solutions such as SDAccess and SD-WAN. Course content includes 3 days
of self-study material. This course helps you prepare for
the 350-401 Implementing Cisco Enterprise Network
Core Technologies (ENCOR) exam</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
     <li>Configure, troubleshoot, and manage enterprise
wired and wireless networks</li>
<li> Implement security principles within an enterprise
network</li>
<li> Prepare you prepare to take the 350-401
Implementing Cisco Enterprise Network Core
Technologies (ENCOR) exam
</li>
 
                  </ul>
        <h5>
        <b>CCNP training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>
   Mid-level network engineers, Network administrators,
Network support technicians, Help desk technicians.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Implementation of Enterprise LAN networks. Basic
understanding of Enterprise routing and wireless
connectivity, and Python scripting</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days</p>
              
							
              
              
						</ul>
					</div>
				</div>
			
				 <h3><b>CCNP training course content</b></h3>
				
      <ul>
				<li>Cisco Enterprise Network Architecture:</li>

 Access,
distribution, core in the hierarchical network.
Cisco Switching Paths: Switching mechanisms, TCAM,
CAM, process switching, fast switching, and CEF.
		  <li>
Implementing Campus LAN Connectivity:</li> Troubleshoot
L2 connectivity using VLANs and trunking<br />
		  <b>Building Redundant Switched Topology:</b> STP<br />
		  
Implementing Layer 2 Port Aggregation<br />
Troubleshoot link aggregation using Etherchannel<br />
EIGRP<br />
Implement and optimize OSPFv2/v3, including
adjacencies, packet types, and areas, summarization,
and route filtering for IPv4/v6<br />
Implement EBGP interdomain routing, path selection,
and single and dual-homed networking<br />
		  <b>Implementing Network Redundancy:</b> HSRP and VRRP<br />
Implement static and dynamic NAT<br />
Virtualization Protocols and Techniques<br />
		  <b>VPNs and Interfaces:</b> Overlay technologies such as VRF,
GRE, VPN, and LISP
		  <b>Wireless Principles:</b> RF, antenna characteristics, and
wireless standards.<br />
<b>Wireless Deployment:</b> Models available, autonomous AP
deployments and cloud-based designs within the
centralized Cisco WLC architecture<br />
Wireless Roaming and Location Services<br />
<b>Wireless AP Operation:</b> How APs communicate with
WLCs to obtain software, configurations, and centralized
management<br />
<b>Wireless Client Authentication:</b> EAP, WebAuth, and PSK
wireless client authentication on a WLC.<br />
Troubleshoot wireless client connectivity issues using
various available tools<br />
Troubleshoot networks using services such as NTP,
SNMP, Cisco IP SLAs, NetFlow, and Cisco IOS EEM
Explain network analysis and troubleshooting tools,
which include show and debug commands, as well as
best practices in troubleshooting<br />
<b>Multicast Protocols:</b> IGMP v2/v3, PIM DM/SM and RPs
<b>Introducing QoS:</b> Concepts and features.<br />
Implementing Network Services: Secure administrative
access for Cisco IOS devices using CLI access, RBAC,
ACL, and SSH, and device hardening concepts to secure
devices from less secure applications<br />
Using Network Analysis Tools<br />
<b>Infrastructure Security:</b> Scalable administration using
AAA and the local database, features and benefits<br />
Enterprise Network Security Architecture: VPNs,
content security, logging, endpoint security, personal
firewalls, and other security features.<br />
Automation and Assurance with Cisco DNA Center:
Purpose, function, features, and workflow. Intent-Based
Networking, for network visibility, proactive monitoring,
and application experience<br />
<b>Cisco SD-Access Solution:</b> Nodes, fabric control plane,
and data plane, VXLAN gateways<br />
<b>Cisco SD-WAN Solution:</b> Components and features of
Cisco SD-WAN solutions, including the orchestration,
management, control, and data planes<br />
	<b>Basics of Python Programming:</b> Python components
and conditionals with script writing and analysis<br />
Network Programmability: NETCONF and RESTCONF
		  APIs in Cisco DNA Center and vManage<p></p>

<li>Labs: </li><p>
Investigate the CAM. Analyze CEF. Troubleshoot
VLAN and Trunk Issues. Tuning STP and Configuring
RSTP. Configure MSTP. Troubleshoot EtherChannel.
Implement Multi-area OSPF. Implement OSPF Tuning.
Apply OSPF Optimization. Implement OSPFv3.
Configure and Verify Single-Homed EBGP.
Implementing HSRP. Configure VRRP. Implement
NAT. Configure and Verify VRF. Configure and Verify a
GRE Tunnel. Configure Static VTI Point-to-Point
Tunnels. Configure Wireless Client Authentication in a
Centralized Deployment. Troubleshoot Wireless Client
Connectivity Issues. Configure Syslog. Configure and
Verify Flexible NetFlow. Configuring Cisco IOS EEM.
Troubleshoot Connectivity and Analyze Traffic with
Ping, Traceroute, and Debug. Configure and Verify
Cisco IP SLAs. Configure Standard and Extended
ACLs. Configure Control Plane Policing. Implement
Local and Server-Based AAA. Writing and
Troubleshooting Python Scripts. Explore JSON Objects
and Scripts in Python. Use NETCONF Via SSH. Use
RESTCONF with Cisco IOS XE. 
</p>
      </ul>

Systems & Network Training

Network & Security

Network Engineer

CCNP core

<div>
						<div>
				<div>
									<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Learning Outcomes
</h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Learn what Python programming is and its basic data types</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know the fundamentals of Python operators</span>
									</li>
								<li>
											<span>
													</span>
										<span>Deepen your understanding of control flow part - 1 and control flow part - 2</span>
									</li>
								<li>
											<span>
													</span>
										<span>Enhance your idea of user input and error handling</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get acquainted with Python scripting and libraries</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get an introduction to OPP and learn the advanced OPP</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Description </h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>According to a statistic, Python is one of the most demanding jobs in the UK, which offers a salary of almost </span><span>£60,000 to programmers who are skilled in Pythons. This demand opens up many opportunities for freshers and experts in various IT fields. So, if you are from a programming background or wish to start your career in the relevant field, gain adequate skills in Python and shine in your future career with the help of the Python Programming: Beginner to Experts course.</span></p><p><span>Our immersive Python Programming: Beginner to Experts course will help you gain a thorough understanding of what Python is all about and in which sectors it's mostly used. Moreover, this course will provide you with knowledge of basic data types. In addition, you will learn about Python operators, user input and error handling and many more. While progressing through your study, you can also get to learn about Python scripting and libraries. It will also introduce you to the primary and advanced levels of OPP.</span></p><p><span>However, after completing this comprehensive course, you will immediately receive a CPD- Certificate of achievement, which will not only help you boost your confidence but also put some weight on your resume. So, enrol and begin your journey now!</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Certificate of Achievement </h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. </span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
				<div>
			<div>
							<div>
						<div>
				<div>
								<div>
																										</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Method of Assessment 
</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Career path</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>We designed this course with the aim of increasing your expertise in Python so that you can pursue your career in the relevant field. Such as - </span></p>					</div>
						</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Web Developer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Software Engineer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Scientist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Machine Learning Engineer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div>

Janets

Python Programming: Beginner To Expert

<p><strong>Python programmers</strong> are in great demand for a variety of reasons, including the language's widespread use and popularity as well as the fact that Python has emerged as a viable alternative in several fields. Developing web applications, working with data science, and machine learning can be done through Python codes. As a result, expertise in Python can open up a wide range of opportunities for you. If you want to develop your skills from scratch, or just want to refresh your old skills, we got you covered. We offer a <strong>Python Programming at QLS Level 7</strong> course discussing the basics to advanced techniques.</p><p><strong> Enrol this course and achieve the Quality Licence Scheme endorsed certificate </strong></p><p>Learners who are highly motivated and computer literate and who want to learn how to program in python should enrol in this course. It is great for developing your coding skills. We focused on a vast array of tools and technologies in this extensive course, including:</p><ul><li>Introduction to Python Programming from A-Z</li><li>Getting Familiar with Python</li><li>Basic Data Types</li><li>Python Operators</li><li>Advanced-Data Types</li><li>Control Flow Part 1</li><li>Control Flow Part 2</li><li>Functions</li><li>User Input and Error Handling</li><li>Python Advanced Functions</li><li>Python Scripting and Libraries</li><li>NumPy</li><li>Pandas</li><li>Introduction to OOP</li><li>Advanced OOP</li></ul><p>In the UK, there are more than <strong>750 new job posts for software engineers</strong> every day, and Python is the second-most in-demand programming language among companies. So, if you want to manage your future and make money by learning new skills, Python can be your best bet.</p><p>This course training includes 1 of the best-selling course endorsed by the Quality Licence Scheme with an endorsed certificate of achievement, expert assistance, and course assessment. Enjoy 12 months of free access to this course and master a range of in-demand professional skills to advance your career. <strong>No hidden costs - simply enrol this course.</strong></p><p><strong>Our course is endorsed by the Quality Licence Scheme, ensuring your newly acquired skills will enhance your professional development. This course is accredited by CPD.</strong></p><p>Dedicated learning assistance and 24/7 customer support are available to all students with this premium quality this course. Get the help you require and the answers to all your queries throughout the comprehensive syllabus of this course.</p><p>With this Python Programming at QLS Level 7 training, success becomes much easier and enables you to monetise your skills. This course is designed for both part-time and full-time students and can be completed at a pace that suits your learning style.</p><p><strong>Curriculum Breakdown:</strong></p><ul><li><strong>Module 01: Introduction to Python Programming from A-Z<br /></strong></li><li><strong>Module 02: Getting Familiar with Python<br /></strong></li><li><strong>Module 03: Basic Data Types<br /></strong></li><li><strong>Module 04: Python Operators<br /></strong></li><li><strong>Module 05: Advanced Data Types<br /></strong></li><li><strong>Module 06: Control Flow Part 1<br /></strong></li><li><strong>Module 07: Control Flow Part 2<br /></strong></li><li><strong>Module 08: Python Functions<br /></strong></li><li><strong>Module 09: User Input and Error Handling<br /></strong></li><li><strong>Module 10: Python Advanced Functions<br /></strong></li><li><strong>Module 11: Python Scripting and Libraries<br /></strong></li><li><strong>Module 12: NumPy<br /></strong></li><li><strong>Module 13: Pandas<br /></strong></li><li><strong>Module 14: Introduction to OOP<br /></strong></li><li><strong>Module 15: Advanced OOP<br /></strong></li><li><strong>Module 16: Starting a Career in Python</strong></li></ul><p><strong>Key Highlights</strong></p><ul><li>The Quality Licence Scheme ensures that the course you enrolled in, Python Programming at QLS Level 7, is of the highest quality.</li><li>It helps you to get recognised by employers easily.</li><li>The endorsed certificate of this course will make you stand out from the crowd when applying for jobs during this pandemic.</li><li>The Certificate of Achievement Endorsed by the Quality Licence Scheme has helped thousands of people reach their professional goals and get better jobs.</li></ul><p><strong>Why People Enrol from One Education:</strong></p><ul><li>Receive a Quality Licence Scheme-endorsed certificate upon successful completion of the course</li><li>Learning materials of the course contain engaging voiceover and visual elements for your comfort</li><li>Get 24/7 access to all course content for a full year</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li><li>Efficient assessments and instant results upon completion of the course</li></ul><p>This uniquely tailored course makes online learning as efficient and easy as possible. This this course will motivate you to learn, develop, and participate in an exceptional e-learning journey while upgrading your CV &amp; competence and introducing you to new possibilities to further your career development.</p><p><strong>Course Assessment</strong></p><p>You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%.</p><p><strong>Certificate of Achievement</strong></p><p><strong>QLS Endorsed Certificate </strong></p><p>After completing this course, learners will get an endorsed certificate (Completly FREE) delivered right at their doorstep by post, without paying a single penny! Please note that learners outside the UK must pay a £10 postage charge.</p><p><strong>Accredited Certificate </strong></p><p>After completing the MCQ assessment of this course, you will also qualify for a CPD QS Accredited Certificate from One Education as proof of your continued professional development. Certification is available in PDF format at the cost of £9, or a hard copy can be sent to you via post at the expense of £15.</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for this course, with enrollment open to anyone!</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This course can help you to develop your career by helping you to apply for high-paying employment in the related fields.<br />Enrol now and take your career to the next step.</p>
                        </div>

Python Programming at QLS Level 7 Course

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>The primary audience for this course is system installers, system integrators, system administrators, network administrators, and solutions designers.</p>Overview<p>At the end of this course, you will be able to:<br />Describe the NSO's transactional application framework and mapping model options<br />Describe the Reactive Fastmap design pattern and the NSO Configuration Database (CDB) subscriber in the NSO Transaction model<br />Simplify packages to remove the need for subscriber applications, scale orchestration solutions, and integrate NSO with external systems (east-west integration)Describe the Cisco ESC architecture and integration with NSO, and how the NSO VNF Orchestration (VNFO) Release 2 bundle interacts with ESC for orchestration</p><p>This course explores how to create advanced services using the NSO application framework and Python scripting with both new and existing Layer 3 Multiprotocol Label Switching (MPLS) VPN services. Students will also learn how to manage and scale these services, and how to use NSO Network Functions Virtualization (NFV) orchestration features and Cisco Elastic Services Controller (ESC) to manage Virtualized Network Functions (VNFs).</p></div><div id="course-pills-2"><h4>Cisco NSO Programmability</h4><ul><li>NSO Application Framework</li><li>NSO Python Scripting</li><li>NSO Python and Template-Based Services</li><li>Resources</li></ul><h4>Augmenting Cisco NSO Service </h4><ul><li>Service Lifecycle and Integration Options Overview</li><li>Greenfield Layer 3 MPLS VPN Service</li><li>Brownfield Layer 3 MPLS VPN Service</li></ul><h4>Managed Services </h4><ul><li>Managed Services Overview</li><li>Stacked Service Design Overview</li><li>Design-Managed Network Services</li><li>Scaling Service Orchestration</li></ul><h4>Cisco NSO Network Functions Virtualization (NFV) Orchestration </h4><ul><li>ETSI MANO</li><li>Cisco ESC</li><li>Cisco NSO Orchestration</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Network Services Orchestrator Advanced Design (NSO300) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cisco Network Services Orchestrator Advanced Design (NSO300) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Cisco Certified Network Professional certification (CCNP)

Service Design Courses (SDC)

Cisco Certified Entry Networking Technician (CCENT)

Professional Skills Course (PSC)

Cisco Certified Internetwork Expert (CCIE)

Cisco Network Services Orchestrator Advanced Design (NSO300)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course.</p>Overview<p>This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom.  Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques.<br />Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level):<br />How to work with Python interactively in web notebooks<br />The essentials of Python scripting<br />Key concepts necessary to enter the world of Data Science via Python</p><p>This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks.  This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.</p></div><div id="course-pills-2">This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks.  This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.</div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

NLP Practitioner

Teacher Training

Python for Data Science Primer: Hands-on Technical Overview (TTPS4872)

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					<div><p><span>Python scripting makes it easy to automate workflows in ArcGis. In the <strong>Learn to Use Python for Spatial Analysis in ArcGIS</strong> course, you will learn from the experts how to perform spatial analysis and data management tasks using ArcGis tools. It will teach you how to carry out a wide range of tasks, from creating animations to running a batch process in Python of multiple existing scripts. </span></p><p><span>By the end of the course, you will have the skills and expertise to pursue a career as a developer, and will be able to use ArcGis proficiently for mapping, spatial analysis, data science, geospatial AI and automation. There are no specific entry requirements for this course, however, which can be studied on a part-time or full-time basis.</span></p></div>
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					<div><p>This best selling <strong>Learn to Use Python for Spatial Analysis in ArcGIS </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Learn to Use Python for Spatial Analysis in ArcGIS </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Learn to Use Python for Spatial Analysis in ArcGIS </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Learn to Use Python for Spatial Analysis in ArcGIS </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Learn to Use Python for Spatial Analysis in ArcGIS</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Learn to Use Python for Spatial Analysis in ArcGIS </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Learn to Use Python for Spatial Analysis in ArcGIS </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Learn to Use Python for Spatial Analysis in ArcGIS

<strong>This intermediate course provides hands-on training of white, grey, and black hat skills every cybersecurity professional needs to know.</strong>
        <p>Intermediate Ethical Hacking Hands-On Training provides an intermediate level of white, grey, and black hat skills every cybersecurity professional needs to know. In addition, advanced reconnaissance techniques are taught using the NMap scripting engine and various hacking tools used by pentesters.

Sections include web application attacks, wireless network attacks, PowerShell Empire, Netcat, and Wireshark fundamentals.
 
Learn how to create a reverse shell using command injection and also how to upgrade a dumb terminal to fully functional BASH Shell. Moving forward, we will also learn advanced password hacking with Metasploit and how to dump Wi-Fi credentials using netsh.

By the end of the course, you will have a deep understanding of external and internal network penetration testing, wireless penetration testing, and web application penetration testing. The lab exercises in the course are based on real-world application of Red Team best practices.

All resources and code file are placed here: https://github.com/PacktPublishing/Intermediate-Ethical-Hacking-Hands-on-Training</p>
        <h2>What You Will Learn</h2><p>Learn web application attacks<br>Learn Python scripting for pentesters<br>Learn wireless network attacks<br>Learn advance hacking methodologies<br>Learn about web app penetration testing<br>Explore PowerShell Empire</p>
        <h2>Audience</h2><p>This course is for anyone who is interested in learning intermediate skills of pentesting. Before taking this course, students should have completed an introduction to an ethical hacking or pentesting course.</p>
        <h2>Approach</h2><p>This is a step-by-step course that teaches you about Wireshark and web app penetration testing; it has lab exercises to help you understand the content better.</p>
        <h2>Key Features</h2><p>Learn about advanced password hacking with Metasploit * Explore how to access Kali across the WAN with NGROK * Learn about how to attack web apps with Burp Suite using SQL Injection</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Intermediate-Ethical-Hacking-Hands-on-Training</p>
        <h2>About the Author</h2><h3>Cliff Krahenbill</h3><p>Cliff Krahenbill, known as Professor K, is a technology professional and online instructor. He received his Master of Science degree in Cybersecurity from UMUC in 2015 and a Master of Science degree in Information Technology from Capella University in 2007. Professor K has been working in the field of technology since 1998 as a Microsoft support technician, Microsoft certified trainer, technology support specialist, senior network technology consultant, IT auditor, and most recently, as the owner and operator of his own technology firm, CLK Technology Solutions, located in Tucson, Arizona.

Professor K's expertise in technology lies in designing, building, and supporting network infrastructures and network security. He has been teaching online courses since 2008 and conducts online classes for universities and colleges. He holds numerous technology certifications, which include the following:
MCTS: Windows Server 2008 Active Directory, Configuration
MCTS: Windows Server 2008 Applications Infrastructure, Configuration
MCTS: Windows Server 2008 Network Infrastructure, Configuration
A+, Net+, Security+

He spends his spare time working in his woodshop and providing free technical support to the local retirement community in Tucson, Arizona.</p>
        <h2>Course Outline</h2><h4>1. Course Overview</h4><p></p><br><h4>2. Virtual Lab Build</h4><p></p><br><h4>3. Nmap </h4><p></p><br><h4>4. Reverse Shells, Previlege Escalation and Persistant Backdoors</h4><p></p><br><h4>5. PowerShell Empire</h4><p></p><br><h4>6. Post Exploitation of Microsoft Windows</h4><p></p><br><h4>7. Practical Pentesting Labs</h4><p></p><br><h4>8. Auditing Wireless Networks</h4><p></p><br><h4>9. Wireshark</h4><p></p><br><h4>10. Web App Penetration Testing</h4><p></p><br><h4>11. Anonymity - Remaining Anonymous While Pentesting</h4><p></p><br><h4>12. CTF - SQL Injection to Shell Walkthrough</h4><p></p>

Penetration Testing

Hacking

Security

Ethical Hacking

This intermediate course provides hands-on training of white, grey, and black hat skills every cybersecurity professional needs to know.

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