32 lines
1.4 KiB
Markdown
32 lines
1.4 KiB
Markdown
# Parallel Python
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A lecture from ASPP 2024. The slides and exercises are in `slides/` and `exercises/`, respectively.
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A really cool example of using `asyncio` with the dakos program is in `extras/`.
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## Lecture outline
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1. Processes, threads and THE GIL
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2. Hands-on investigations of embarrassingly parallel problems
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A. Multithreading with NumPy
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B. The multiprocessing package
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C. Blending processes and threads
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3. Going further
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## Online resources
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* Online textbook on operating systems, processes, threads, etc.
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* [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/#book-chapters)
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* Chapters 4, 13, and 26 are particularly relevant.
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* But the whole book is interesting.
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* Report of a talk on Python concurrency types, with focus on sub-interpreters.
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* [Python subinterpreters and free-threading](https://lwn.net/Articles/985041/)
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* Comparison of multithreading, multiprocessing, and asyncio.
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* [Async Python: The Different Forms of Concurrency](http://masnun.rocks/2016/10/06/async-python-the-different-forms-of-concurrency/)
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* Note the code snippets are a little outdated.
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* Example of webscraping with asyncio
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* [Asynchronous Web Scraping in Python - ZenRows](https://www.zenrows.com/blog/asynchronous-web-scraping-python#scrape-multiple-pages-asynchronously)
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* Sub-interpreters in 3.12
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* [Sub-interpreter web workers](https://tonybaloney.github.io/posts/sub-interpreter-web-workers.html )
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