dotfiles VS CPython

The dotfiles setup scripts are heavily knocked-off inspired version of beautiful Cătălin’s dotfiles. You should probably check it out!

alrra - dotfiles

Ah.

I imagine the problem is that `__del__` could be monkeypatched, so Python doesn't strictly know what needs custom finalization until that moment.

But if you have a concrete proposal, it's likely worth shopping around at https://discuss.python.org/c/ideas/6 or https://github.com/python/cpython/issues/ .

As in, how are we parsing the Python code into an AST?

CPython uses a generated parser. The grammar is defined in https://github.com/python/cpython/blob/main/Grammar/python.g... which is used to generate the specification at https://docs.python.org/3/reference/grammar.html#full-gramma...

We use a hand-written parser, in Rust, based on the specification.

Open source software is built on the democratic idea that everyone should be able to inspect and contribute to the source code. Major projects like Linux, WordPress, and the Apache HTTP Server have shown how collaborative efforts can produce robust, scalable solutions. Indie hackers, often working with limited budgets, gain access to highly dependable tools such as Python and MySQL, which were originally developed and maintained by global communities.

Python: The Superpower of AI

I headed to the official Python website: python.org. Right on the homepage, there's a big, friendly yellow "Download Python" button — practically waving at you. I clicked it and downloaded the latest stable macOS installer.

As in my sibling comment, pypy has already done all this work.

CPython's struct module is just a shim importing the C implementations: https://github.com/python/cpython/blob/main/Lib/struct.py

Pypy's is a Python(-ish) implementation, leveraging primitives from its own rlib and pypy.interpreter spaces: https://github.com/pypy/pypy/blob/main/pypy/module/struct/in...

The Python stdlib has enormous surface area, and of course it's also a moving target.

Python and some Bash scripts — for the enrichment logic and updates

If your version is 3.9 or above, you’re good to go. If not, download the latest version from python.org.

The quality of documentation is a known, highlighted concern in the community. There is particular interest in adopting Diataxis principles to improve documentation, both for Python itself and for packaging (see e.g. the user guide at https://packaging.python.org/en/latest/ , or the PyPA main site https://www.pypa.io/en/latest/ ).

If you want to help, there's a section on the Python forum (https://discuss.python.org/c/documentation/26) and a Discord server, and issues with documentation can also be reported on the main Python GitHub issue tracker (https://github.com/python/cpython/labels/docs).

Prior to having a bool type, Python didn't even have True/False keywords.

The reason something silly like `4 + True` works is because the bool type implements `tp_as_number` [0]. The reason it works this way is intentional because it would been a Python 3 str-style debacle if ints and bools were not interchangeable.

[0] https://github.com/python/cpython/blob/main/Objects/boolobje...