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Demo code exploring Python's memory models and collection algorithms from the Talk Python Training course.

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This very unique course will teach not just how Python memory management works and how to create code that functions well within that world, it will provide many concrete techniques, tools, design patterns, and more to make your programs more memory efficient and computationally faster to boot.

If Python memory (allocations, clean up, and so on) has always felt like a weird black box that you have had to take for granted, join this course and open that box. There are many beautiful and interesting aspects of Python's runtime behavior making your code run. You should understand what's happening on your behalf.

What topics are covered

In this course, you will:

  • Learn how Python variables and data structures actually look in the CPython layer
  • See how the small object allocator treats most objects differently than your intuition
  • Understand Python's memory allocation primitives: blocks, pools, and arenas
  • Locate the elements on C code responsible for Python memory behavior
  • See reference counting in action with live code explorations
  • Discover why reference counting alone is not enough for memory cleanup
  • Work with Python's GC and see when it's needed, and when it's not
  • Compare different data structures to get a sense of their relative size
  • Use multiple clever but simple techniques to massively reduce memory during function calls
  • Lighten up your classes with properties
  • Leverage multiple memory profilers to investigate memory usage line by line and over time
  • And lots more

Who is this course for?

This course is for anyone who wants to understand how Python memory is managed and make their code more efficient and faster. If you're tired of Python memory being a black box hiding its behavior, turn on the light with this course.

The student requirements are quite light for this course. You'll need Basic Python language knowledge:

  • Classes
  • Functions
  • Properties
  • Variables
  • Loops
  • Iteration

Note: All software used during this course, including editors, Python language, etc., are 100% free and open source. You won't have to buy anything to take the course.

Take the course

Take the course online today at Talk Python Training.

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Demo code exploring Python's memory models and collection algorithms from the Talk Python Training course.

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