Uv's killer feature is making ad-hoc environments easy
1–10 of 428 posts
Re: Uv's killer feature is making ad-hoc environments easy
#2wow, they've re-invented a tiny bit of Nix, purely legend!
Re: Uv's killer feature is making ad-hoc environments easy
#3Uv also bundles uvx command so you can run Python scripts without installing them manually:
uvx --from 'huggingface_hub[cli]' huggingface-cli
Re: Uv's killer feature is making ad-hoc environments easy
#4OK, I'm convinced. I just installed uv. Thanks for sharing!
Re: Uv's killer feature is making ad-hoc environments easy
#5Uv also bundles uvx command so you can run Python scripts without installing them manually: uvx --from 'huggingface_hub[cli]' huggingface-cli
Neat!
Re: Uv's killer feature is making ad-hoc environments easy
#6wow, they've re-invented a tiny bit of Nix, purely legend!
A few months ago I saw someone hacking the linker to get mundane package management working in Nix. It was bubbling up to the top of my "to try" list and that bumped it back down. It'll be good eventually, I'm sure.
Re: Uv's killer feature is making ad-hoc environments easy
#7OK, I'm convinced. I just installed uv. Thanks for sharing!
Ditto. This is pretty cool!
Re: Uv's killer feature is making ad-hoc environments easy
#8uv implements PEP 723.
https://packaging.python.org/en/latest/specifications/inline...
Especially useful if the script has dependencies on packages in private repos.
Re: Uv's killer feature is making ad-hoc environments easy
#9The activation of the virtualenv is unnecessary (one can execute pip/python directly from it), and the configuring of your local pyenv interpreter is also unnecessary, it can create a virtual environment with one directly:
pyenv virtualenv python3.12 .venv
.venv/bin/python -m pip install pandas
.venv/bin/python
Re: Uv's killer feature is making ad-hoc environments easy
#10The activation of the virtualenv is unnecessary (one can execute pip/python directly from it), and the configuring of your local pyenv interpreter is also unnecessary, it can create a virtual environment with one directly: pyenv virtualenv python3.12 .venv .venv/bin/python -m pip install pandas .venv/bin/python Not quite one command, but a bit more streamlined; I guess.
Indeed, you're right ;).