Memory Management in Python — The Basics

Understanding memory management in Python can feel daunting — especially for developers without a computer science background. The documentation often assumes prior knowledge that beginners don’t have yet. This talk cuts through the jargon and gives a clear, accessible overview of how Python handles memory.

Topics covered:

• Reference counting — Python’s primary mechanism for tracking when objects can be freed
• Garbage collection — how Python handles circular references that reference counting can’t catch
• Weak references — holding a reference to an object without keeping it alive
• __slots__ — how to reduce memory usage for classes with many instances
• The Global Interpreter Lock (GIL) — what it is, why it exists, and what it means for threading

This talk was ranked the #4 most-watched PyCon talk on RealPython.com.

Also Presented At

• North Bay Python 2018 — Watch on YouTube