Course Information

Take your Python expertise to new heights with our Future Savvy 4-day Python Programming Advanced course. This advanced-level course is designed for experienced Python users who want to dive deeper into complex programming techniques and develop robust, scalable, and maintainable applications.

Throughout the course, you’ll master object-oriented programming, covering essential concepts such as classes, inheritance, polymorphism, and meta-programming. You’ll explore how to structure your code for flexibility and reuse by implementing design patterns like iterators, decorators, proxies, and factories.

You will also gain practical experience with automated testing using Python’s unit test library and pytest, ensuring that your code is reliable and easy to maintain. The course covers advanced logging, debugging, and exception-handling techniques to improve your ability to troubleshoot and refine your applications.

Additionally, you’ll learn best practices for writing maintainable code with coding standards, type hints, and reproducible environments, along with techniques for optimising your code for performance. This includes multi-threading, multiprocessing, and asynchronous programming, helping you write efficient code that scales.

Finally, you’ll delve into functional programming concepts, using functions like map, filter, and reduce to approach problems in new and efficient ways.

Course requirements

This course is intended for experienced Python users who have a solid understanding of programming fundamentals and object-oriented concepts. A background in writing Python code and some familiarity with functional programming is recommended.

What you will learn

With this Python Programming Advanced course, you will be able to:

• Master object-oriented programming, including meta-programming and inheritance
• Implement key design patterns such as iterators, decorators, factories, and proxies
• Write and maintain automated tests using Python's unit test library and pytest
• Debug, log, and handle exceptions effectively in complex applications
• Write maintainable, reusable, and well-documented code
• Optimise your programs for performance, including multi-threading and multiprocessing
• Explore functional programming concepts like map, filter, and reduce
• Utilise Python’s standard library and third-party tools to enhance your code

By the end of this 4-day course, you’ll have the expertise to tackle complex programming challenges, optimise your code for performance, and build efficient, scalable Python applications that meet professional standards.

All with our 100% Money-Back Guarantee and Unlimited Email Support.