Related discussion:
Sorry, what is this really? I don’t seem to encounter the problems mentioned in that blog post 🧐
I feel like a lot of the problems people encounter with Python are due to the non-Python dependencies that projects use and are mostly restricted to certain fields. My guess is that the people complaining are a mix of:
- not on linux
- using numpy or something similar that has non-python dependencies
- trying to do machine learning, signal processing, algorithmic trading,…
Hopefully the next blog post will walk through examples of “this is the problem people encounter with existing tools, this is what it looks like, this is how it looks like with our tools, this is how it works”. The “how it works” could be split off into another blog post too.
Right now, this blog post just made me aware of pyx but that’s about it.
you’re describing the use case for conda, which is something astral is trying to be an upgrade path from. conda is a mess, but it lets people work.
Now I’m even more wary of their products, every new peace feels more and more like they are attempting to take over python with apparently unlimited resources.
Exactly.
the first piece of the Astral platform
Because obviously, everything need to be a platform when you are VC backed… 😮💨
yeah i didn’t really expect this. i’ve been using uv a lot lately because it’s so damn fast and degrades gracefully to just a normal venv, but if they’re tying it to their own platform i’m going to be careful going forward.
