Advanced Python

Overview

Advanced Python builds on Introduction to Programming and Advanced Programming for students who already know the fundamentals of Python and are ready to work with the language at a professional level. Over 15 to 25 hours, you will cover advanced language features, functional programming, concurrency, and popular data science and machine learning libraries.

The course closes with an advanced project where you apply what you have learned across multiple libraries and frameworks to build a complete, real-world Python application.

What You Will Learn

• Use advanced Python features such as decorators, generators, context managers, and metaprogramming to write more elegant, efficient code.
• Apply functional programming concepts including higher-order functions, lambda expressions, map, filter, reduce, and comprehensions.
• Write concurrent and asynchronous applications using asyncio, concurrent.futures, and threading.
• Work with advanced modules from the Python Standard Library for data manipulation, networking, and cryptography.
• Get introduced to popular data science and machine learning libraries such as NumPy, Pandas, Matplotlib, and scikit-learn.
• Solve complex problems using advanced data structures and algorithms, including graph algorithms and dynamic programming.
• Test and debug Python code using frameworks like unittest or pytest and tools like pdb.
• Use Python for automation and DevOps tasks with tools such as Fabric, Ansible, or Docker SDK.

Course Curriculum

Who This Course Is For

This course is for students who already have computer skills and have completed Introduction to Programming and Advanced Programming, and who want to take their Python skills to a professional level, including working with data and automation tools.