321–330 of 1001 posts
Honestly though it's a pretty rough indictment of Python that the best thing to happen in a decade is that people started writing Python tools in Rust. Not even a little Rust, uv is 98% Rust. I mean, they just released 3.14 and that was supposed to be a pretty big deal.
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>finally get a taste of npm good god no thank you. >cargo more like it.
cargo is better than npm, yes, but npm is better than pip (in my experience)
> Instead of > > source .venv/bin/activate > python myscript.py > > you can just do > > > uv run myscript > This is by far the biggest turn off for me. The whole point of an environment manager is set the environment so that the commands I run work. They need to run natively how they are supposed to when the environment is set, not put through a translation layer. Side rant: yes I get triggered whenever someone tells…
For single-file Python scripts, which 99% of mine seem to be, you can simplify your life immensely by just putting this at the top of the script: #!/usr/bin/env -S uv run --script # /// script # requires-python = ">=3.11" # dependencies = [ "modules", "here" ] # /// The script now works like a standalone executable, and uv will magically install and use the specified modules.
I use this but I hate it. I want to be able to ship a bundle which needs zero network access to run, but will run. It is still frustratingly difficult to make portable Python programs.
My current hobby language is janet. Creating a statically linked binary from a script in janet is trivial. You can even bring your own C libraries.
I hadn't paid any attention to rust before uv, but since starting to use uv, I've switched a lot of my performance-sensitive code dev to rust (with interfaces to python). These sorts of improvements really do improve my quality of life significantly. My hope is that conda goes away completely. I run an ML cluster and we have multi-gigabyte conda directories and researchers who can't reproduce anything because just to…
I work professionally in ML and have not had to touch conda in the last 7 years. In an ML cluster, it is hopefully containerized and there is no need for that?
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This isn't a comment just about Python.. but it should just work. There shouldn't be constant ceremony for getting and keeping environments running.
There are basically 0 other programming languages that use the "directory/shell integration activated virtual environment", outside of Python. How does the rest of the world manage to survive without venvs? Config files in the directory. Shocking, really :-)))
If uv makes it invisible it is a step forward.
And still there are some annoying issues: dependencies = [ "torch==2.8.0+rocm6.4", "torchvision==0.23.0+rocm6.4", "pytorch-triton-rocm==3.4.0", ... ] There is literally no easy way to also have a configuration for CUDA, you have to have a second config, and, the worse, manually copy/symlink them into the hardcoded pyproject.toml file
To me, Python's best feature is the ability to quickly experiment without a second thought. Conda is nice since it keeps everything installed globally so I can just run `python` or iPython/Jupyter anywhere and know I won't have to reinstall everything every single time.
I must be the odd man out but I am not a fan of uv. 1. It tries to do too many things. Please just do one thing and do it well. It's simultaneously trying to replace pip, pyenv, virtualenv, and ruff in one command. 2. You end up needing to use `uv pip` so it's not even a full replacement for pip. 3. It does not play well with Docker. 4. It adds more complexity. You end up needing to understand all of these new enviro…
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There are basically 0 other programming languages that use the "directory/shell integration activated virtual environment", outside of Python. How does the rest of the world manage to survive without venvs? Config files in the directory. Shocking, really :-)))
The only word in the `source .venv/bin/activate` command that isn't a complete red flag that this was the wrong approach is probably bin. Everything else is so obviously wrong. source - why are we using an OS level command to activate a programming language's environment .venv - why is this hidden anyway, doesn't that just make it more confusing for people coming to the language activate - why is this the most generi…
uv has increased my usage of python for production purposes because it's maintainable by a larger group of people, and beginners can become competent that much quicker.