The Python Memory Graph | How CPython Actually Stores Objects in Memory
How does Python actually store objects in memory?
When you write a simple line of code like:
x = 5
what really happens inside the Python interpreter?
Most tutorials say “everything is an object”, but that explanation hides the deeper structure of how Python actually works. In this video we reconstruct the CPython runtime from the ground up and visualize Python as a **memory graph of objects connected by pointers**.
You will learn:
• How Python stores objects in *heap memory*
• The internal layout of a *PyObject structure*
• How *reference counting* works
• Why variables are **names in namespaces**, not boxes holding data
• Why `b = a` does *not copy objects*
• How *mutable objects share memory*
• How *type objects and tp_dict define behavior*
• How Python resolves attributes through *descriptor objects*
• How *execution frames and bytecode* manipulate object pointers
By the end of the video you will understand Python as a **precise runtime system composed of namespaces, heap objects, and execution frames interacting through memory pointers**.
This mental model is essential for understanding:
• Python internals
• CPython architecture
• memory behavior
• dynamic typing
• performance optimization
Subscribe for more deep dives into:
• Python internals
• runtime systems
• artificial intelligence systems
• computational thinking
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