#pyconus#hatch sounds like it can do a lot of things. It reminds me of multi-linters except it is a multi-common-build-tasks tool. (dependencies, packaging, plus other things) Like multi-linters, it farms out the work to 3rd party tools. Or a mildly opinionated build-anything tool.
I should try it out on a project to get better opinions
Ciekawostka: jeśli masz plik .gitignore w jakimkolwiek katalogu nadrzędnym, #Hatchling go przeczyta. Agresywnie. Każdy jeden plik.
Zrobi to nawet wówczas, gdy .gitignore jest poza repozytorium.
Zrobi to nawet wówczas, jeżeli nie ma żadnego repozytorium gita!
Zrobi to nawet wówczas, gdy .gitignore nakazuje ignorować katalog z twoją paczką, czyli kiedy w ogóle nie powinien być traktowany jako część repozytorium.
W tym ostatnim przypadku, zaskoczy cię tworząc archiwum wheel bez jakiegokolwiek pliku .py. I tak, oczywiście, musieliśmy rozkminiać dziwaczny błąd z tego powodu.
Wynajdywanie koła na nowo zwykle nie jest dobrym pomysłem.
Python question: is there an OS-neutral (as in: works on Linux, MacOS, Windoze) way to natively install a specific version of python and then a virtual environment on top of that?
Can I get all of that from a simple command-line call like make-env -p 3.9 -pip requirements.txt? I am thinking that Anaconda/Mamba/Micromamba can do it. Any other contenders? A lot of things that came to my mind use the Linux Subsystem on Windows and/or VMs on MacOS, so not what I am looking for. Ta.
I have a problem with #hatch in one of my #python projects. If I run my test suite inside a test environment, I get the follow message. If I run it in the default environment, everything runs fine. Why do I have to add the environment to my .gitignore?
In another problem I don’t get this message. This is kind of confusing.
Solving this problem took a while, because I thought it was caused by #hatch or #django. But in the end, out of desperation, I searched with ripgrep in the complete virtualenv. Django-fastdev is the origin of this message.
Switched django-tailwind-cli to hatch. And I really like the results. Especially the different environments for development, testing, linting and docs is really nice.
#Python folks: Any tips for learning it, coming from #Rust ?
I'm kind of reliant on the strictness of Rust, especially when it comes to using the wrong types and everything. Some way to force me to follow a similar style would be appreciated.
I'm also very reliant on Cargo, it's so clean and integrates everything nicely. I'm not sure if there's an equivalent for Python that matches Cargo.
It's there any hatching tool or extension or tutorial to create simple #hatch (for architecture like diagonal stripes - editable) in #Inkscape?
I've tried with Patterns->Object to pattern but he says to use the node tool but with this tool I can only chante the stroke form, not the pattern. Any Idea?
I'm a bit sad that the PyPA folks who work on #Hatch are so responsive to bug reports, because I had thought to maybe try fix the bug I tripped over in the #PyConUS sprints, but instead they've already released a fix.