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Cake day: June 22nd, 2023

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  • ChatGPT literally gave me about 5 pages of answer to your question with sources. Here is a high level excerpt, but it also included detailed tables and lots of additional resources. Give it a go, it’s a much better search engine than Google which is just an ad serving engine now.

    From GPT 4o:

    You’re looking for an in-depth, systems-level understanding of Python—how its runtime, memory model, bytecode, scoping, and threading actually work under the hood. That’s great, and here are some of the best resources and directions for diving in:

    🔬 Core Resources for Python Internals

    1. The Python Source Code (CPython) • GitHub: https://github.com/python/cpython • Best way to understand function declarations, object lifecycle, bytecode, and threading behavior. • Start in: • Objects/funcobject.c – how function objects are defined • Python/compile.c and Python/ast.c – compilation to bytecode • Include/object.h – memory layout of Python objects

    2. Python Bytecode Disassembly • dis module in Python: import dis; dis.dis(some_function) • Shows you stack-machine bytecode operations used by the Python interpreter. • Combine with CPython source to see how bytecode maps to execution.

    3. “Deep Dive” Blogs & Books • “Python Internals” by Phillip J. Eby Very readable, walks through LOAD_GLOBAL, function calls, closures, etc. • “Fluent Python” by Luciano Ramalho – readable but digs into things like descriptors, metaclasses, dunder methods, etc. • “Inside the Python Virtual Machine” by Obi Ike-Nwosu Probably the closest C+±like systems-level explainer you’ll find. Covers: • how the evaluation stack works • memory layout of objects • function instantiation and call frames