Python Advanced Programming: Master Advanced Programming Techniques

Overview

🕮 Off the shelf (OTS)

This course is designed for software developers, data scientists, and technical professionals who already have a working knowledge of Python and want to deepen their skills in advanced programming concepts and best practices. It is ideal for those looking to write more efficient, scalable, and maintainable Python code in professional environments.

Participants should have basic to intermediate experience with Python programming, including familiarity with fundamental syntax and core programming concepts.

The Python Advanced Training Course focuses on advanced programming techniques, including object-oriented programming, functional programming, and design patterns. The course covers sophisticated modules, error handling, debugging, and testing methodologies to help participants write robust code. It also explores performance optimisation, concurrency with threading and multiprocessing, and integration with external libraries and APIs. Throughout the course, practical examples and exercises reinforce key topics to ensure participants can apply their learning to real-world projects.

Key Topics Covered:
• Advanced Python data structures and collections
• Object-oriented programming and design patterns
• Functional programming concepts and lambda expressions
• Error handling, exceptions, and debugging techniques
• Writing unit tests and test automation with pytest
• Performance tuning, concurrency, and multiprocessing

The course is delivered over three days and includes hands-on exercises and practical coding labs to reinforce the concepts taught.