CPython Memory Internals, Reference Counts & Garbage Collection | Python Mastery & Linear Algebra for AI

Systems LabCPython Memory Model

CPython Stack & Heap Pointer Explorer

Explore how CPython manages memory pointers, cached singletons, and reference counting.

Select an Integer value to evaluate:

CPython pre-allocates an internal cache for integers between [-5, 256].

Stack (Namespace Pointers)

var a0xCAFE00

var b0xCAFE00

Heap (PyObject Allocations)

PyLongObject (Shared Cached Singleton)0xCAFE00

ob_refcnt: 184 (shared by runtime)

ob_ival: 256

a = 256; b = 256

a == b: True (Values are equal)a is b: True (Same memory address)

Every variable in Python is a pointer referencing an underlying PyObject allocated on the heap. In this lesson, we explore how CPython tracks reference counts and when the cyclic garbage collector triggers generation-based sweeps.

import sys
import gc

a = [1, 2, 3]
print("Initial Refcount:", sys.getrefcount(a) - 1)  # getrefcount adds 1 temporary ref

b = a
print("After assignment:", sys.getrefcount(a) - 1)  # 2

del b
print("After del:", sys.getrefcount(a) - 1)         # 1

Cyclic Garbage Collection

Reference counting cannot reclaim objects referencing each other in a closed loop. CPython’s generational GC tracks container objects across three generations (Gen 0, 1, and 2), identifying unreachable reference islands.