This article is about Python venvs using Docker. That I wouldn’t want to pollute the base installation on my local machine should be clear.
But you can just create a venv and install everything in there, no need to create dozens of venvs if that’s what you want.
I am not sure what you mean. Once you created a venv you can always reuse it.
Soon, you won’t have a choice because major distros are adopting PEP 668. This will make pip install fail in the default system Python and show an error telling you to use a virtual environment.
Well, if this is true then why bother convincing people ;)
Wdym? It’s a text about the lesser known features and changes in Python 3.13.
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It makes no sense to discuss here.They probably follow Russia’s narrative of Europe being a puppet of the US.
Lol, ml. users getting wild in the comments
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Nice I guess it’s time to check if my daily used libraries have stable 3.12 releases already.
I guess the free-threaded mode and the JIT compiler will be the most important features from what I read, but their significance is out of my expertise.
My absolute favorite with this update is the new REPL! It features Multiline-editing and a paste mode for easier pasting code. It also added the spaces automatically in my example.
Sometimes I want to make some quick tests on some data in the terminal without installing IPython to my environment first, this is great news!
This new error message will also be very useful for beginners and relieve StackOverflow:
AttributeError: module 'numpy' has no attribute 'array' (consider renaming '/home/me/numpy.py' if it has the same name as a third-party module you intended to import)
Yes, mamba is a huge improvement. Regarding docker I can’t really tell you as I’m not an infrastructure guy.
Ii admit it didn’t work out of the box on Mint as well, but didn’t take more then 10 minutes of tweaking. But yes, I would not call it "Linux-friendly
Interesting, I have no problems with a Pixma TS8350. Printing is working as shitty as it has always been on Windows. I have yet to configure the scanner to be fair.
We do geodata science and rely on some pretty specific C++ libraries that are only distributed via conda. While on unix-based systems it’s possible to get some of them from other channels or even building them from source, we mostly have Windows machines in production where we are not that flexible. Docker is unfortunately no solution due to security concerns.
If you are asking why I hate it: It’s bloated, uses more space than needed and it’s rare I can reproduce an environment from the environment file without running into errors. Using it feels unintuitive, I still google command after years. It was very slow until recently, when the libmamba solver was finally integrated. Last but not least licensing is a pain in the ass.
I get these vibes too, their other comment are in the same style.
In my field we rely on conda and I hate it every day.
If you find a way to do this, it would be cool if you can share it!
MevOps Engineer
Integrated Mevelopment Environment. You should have known this
It depends a bit on the use case. I try to follow naming conventions within specific environments like Python. When just sorting some documents together, I usually do a mix of Kebab and snake case, where I split semantic parts with underscores and connect words with dashes like
2024-08-30_author_document-name_other-important-info.ext
Wow, I hope you’re not connected to the web