https://github.com/fidget-spinner/cpython_optimization_notes

Personal notes on optimizations in CPython
https://github.com/fidget-spinner/cpython_optimization_notes

c cpython cpython-internals interpreter learning-materials python

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Personal notes on optimizations in CPython

• Host: GitHub
• URL: https://github.com/fidget-spinner/cpython_optimization_notes
• Owner: Fidget-Spinner
• Created: 2021-10-10T07:02:00.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-01-25T13:54:37.000Z (10 months ago)
• Last Synced: 2024-10-08T18:43:44.857Z (about 1 month ago)
• Topics: c, cpython, cpython-internals, interpreter, learning-materials, python
• Homepage:
• Size: 30.3 KB
• Stars: 5
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CPython Optimization Notes

## Introduction

[CPython](https://docs.python.org/3/glossary.html) is the reference

implementation of the Python programming language.

In this document, I’ll summarise major speedups to the core parts of CPython

in the following versions:

- 3.11

To get the most out of this, you should have knowledge of Python (especially in

data model/dunder methods). Being able to read C is also a plus though not

strictly necessary. Some knowledge of common data structures (hash tables,

linkedlist, etc.) is also beneficial.

If you’re interested in the internals of CPython, and/or want to contribute, I

believe this document has some educational value for you. If you find any parts

hard to understand due to poor wording or plain inaccuracies, please open a PR!

Dive in by reading the [index for 3.11](./3.11/README.md).

## Related Reading

I only list resources I’ve read before. I’m in no way affiliated with any of

these works (except the devguide 😉):

- Complete beginner’s guide with visual diagrams:

  https://realpython.com/cpython-source-code-guide/

- High-level overview and deep-dive of many objects and parts of CPython:

  https://github.com/zpoint/CPython-Internals

- Like the previous guide, but arranged around topics:

  https://tenthousandmeters.com/ 

- CPython devguide: https://devguide.python.org/setup/