Optimising Python
Some great tips for optimising Python, courtesy of Ian Bicking:
- Kata 19: an optimization anecdote demonstrates some neat techniques including use of the gc module to fine tune garbage collection.
- Python Patterns—An Optimization Anecdote mainly uses functional programming techniques and the array module.
- An Optimization Anecdote from Fredrik Lundh teaches us that the more time is spent by Python in pure C routines, the faster code will run (note that this does not necessarily imply rewriting Python code in C).
- Python Performance Tips from 1996, most of which look like they are still valid.
- Python optimization tips, which seem to be a bit more up to date.
More recent articles
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- ChatGPT should include inline tips - 30th May 2023
- Lawyer cites fake cases invented by ChatGPT, judge is not amused - 27th May 2023
- llm, ttok and strip-tags - CLI tools for working with ChatGPT and other LLMs - 18th May 2023
- Delimiters won't save you from prompt injection - 11th May 2023
- Weeknotes: sqlite-utils 3.31, download-esm, Python in a sandbox - 10th May 2023
- Leaked Google document: "We Have No Moat, And Neither Does OpenAI" - 4th May 2023
- Midjourney 5.1 - 4th May 2023
- Prompt injection explained, with video, slides, and a transcript - 2nd May 2023