Advanced Python 3 Training (PYT238)

This Advanced Python course is designed for experienced Python developers looking to deepen their understanding and master advanced programming concepts. The course covers a wide range of topics, including functional programming, data manipulation, testing, debugging, and object-oriented programming, equipping you with the skills to write efficient, robust, and scalable Python code.

The course begins with Advanced Python Concepts, where you'll explore lambda functions, advanced list comprehensions, and the collections module, including creating defaultdict and counters. You'll also learn about mapping and filtering, mutable and immutable objects, and various sorting techniques. This module includes hands-on exercises to practice creating dictionaries, unpacking sequences, and converting data types. You'll also gain insights into working with modules and packages for efficient code management.

Next, you'll dive into Regular Expressions, learning how to use Python's regular expression syntax and tools to search, match, and manipulate text. You'll use the regular expression tester, understand Python's handling of regex patterns, and complete exercises like the "Green Glass Door" challenge to apply your skills in practical scenarios.

The Working with Data module focuses on managing and manipulating different types of data in Python. You'll start by setting up a virtual environment and working with relational databases like SQLite. The course includes exercises for querying databases, inserting data, and using drivers for other databases. You'll also explore working with CSV files, scraping data from the web, and handling XML and JSON formats, with practical exercises on each topic.

In Testing and Debugging, you'll learn best practices for writing robust code, testing for performance, and using the unittest module. You'll also explore special testing methods and complete exercises to practice debugging, fixing functions, and optimizing code performance.

The course covers Classes and Objects in depth, providing a thorough understanding of object-oriented programming in Python. You'll learn about attributes, methods, inheritance, and decorators, as well as how to implement static and abstract methods. Hands-on exercises will guide you through creating and extending classes, using private attributes, and documenting your code effectively.

By the end of this Advanced Python course, you will have developed a comprehensive skill set that enables you to tackle complex programming tasks, manage data efficiently, and create well-structured, maintainable code. You'll be ready to apply these advanced Python techniques in real-world projects and professional environments.