So I’m no expert, but I have been a hobbyist C and Rust dev for a while now, and I’ve installed tons of programs from GitHub and whatnot that required manual compilation or other hoops to jump through, but I am constantly befuddled installing python apps. They seem to always need a very specific (often outdated) version of python, require a bunch of venv nonsense, googling gives tons of outdated info that no longer works, and generally seem incredibly not portable. As someone who doesn’t work in python, it seems more obtuse than any other language’s ecosystem. Why is it like this?
Just out of curiosity, I haven’t seen anyone recommend miniconda… Why so, is there something wrong I’m not aware of?
I’m no expert, but I totally feel you, python packages, dependencies and version matching is a real nightmare. Even with
venvI had a hard time to make everything work flawlessly, especially on MacOS.However, with miniconda everything was way easier to configure and worked as expected.
Isn’t conda specifically for mathy things?
I haven’t heard of Mathy, but it seems to be a math tool?
From what I gathered, miniconda is like pipx or venv. It’s able to create python virtual environments.
But I’m very new to all of this so I’m not really a good source. However after experimenting with either of them (venv, pip or miniconda) I found miniconda the easiest to use, but that’s also probably a skill issue.
I was genuinely asking because their could be something I wasn’t aware of because yeah I’m new to all of this. (proprietary, bugs, not the right tool…
You seem related to programming, maybe you could give me some pointers here?
By mathy I mean related to math