"PEP Analysis" automatically collects and analyses data from the Python PEP website, providing structured lists of PEP documents and a summary of their statuses in .csv format
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Updated
Oct 5, 2023 - Python
"PEP Analysis" automatically collects and analyses data from the Python PEP website, providing structured lists of PEP documents and a summary of their statuses in .csv format
Rules and examples of various built-in functions in Python
My understandings and learnings from reading PEPs in a developer perspective
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Асинхронный парсер документов PEP на базе фреймворка Scrapy.
A collection of Sphinx utilities related to Python packaging.
Add a description, image, and links to the pep topic page so that developers can more easily learn about it.
To associate your repository with the pep topic, visit your repo's landing page and select "manage topics."