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Sure, but I strongly suspect that it was a part of the corpus (it's been online for ~5 years now).
I asked it to generate something similar for golang with a snippet of the list section, and the results look pretty similar. So I don't think it's relying too heavily on a direct example.
That is a lot of data for a single page IMO. You already have a TOC, several library sections might be pages unto themselves. You might also cross link topics into their relevant python docs for deeper references. I know I always need to dig deeper into CSV/argparse for specific things when working with those systems. Edit: awesome content
> That is a lot of data for a single page IMO. It is great for a cheat sheet to be on a single page. It makes ctrl+f searching useful and quick.
A cheat-sheet I really like is https://devhints.io/bash which I feel has just enough info (for me) when jumping back into bash from other work to give me proper context.
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I asked it to generate something similar for golang with a snippet of the list section, and the results look pretty similar. So I don't think it's relying too heavily on a direct example.
I think you're right, I already asked it for some libraries that are not included in the original (fuck my life :) https://gist.github.com/gto76/9ed16511a046d9746d38c55a14ec09...
(The first person to mention ChatGPT gets bopped. I do not need to use an LLM to look up module documentation)
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Discoverability, a document like this makes it much easier to find features and tools you were unaware of. The Python documentation is awesome, but it doesn't provide a 30k ft overview of the language and standard library, especially when the standard lib is so comprehensive.
i really don't see how - i have never had had any difficulty searching for features in the standard library documentation.
This content has been deprecated by chatgpt. In fact, this could have been generated by chatgpt.
See also:
* Python Crash Course cheatsheet: https://ehmatthes.github.io/pcc_3e/cheat_sheets/
* Scientific Python cheatsheet: https://ipgp.github.io/scientific_python_cheat_sheet/
* Common beginner errors: https://pythonforbiologists.com/29-common-beginner-errors-on...
* Python regular expression cheatsheet: https://learnbyexample.github.io/python-regex-cheatsheet/ — my blog post, includes examples as well
who exactly is this aimed at? why would they not use the python on-line documentation?