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Python devs. Use uv.

24,334 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля Patrick Collins
Patrick Collins1 год назад

I'm also funny on YouTube sometimes.

Фото профиля Patrick Collins
Patrick Collins1 год назад

and crew doing the lords work

Фото профиля ana howard ☻
ana howard ☻1 год назад

wait i'm not the only one that experiences this???

Фото профиля Michael Egorov
Michael Egorov1 год назад

Funny but I literally never had the problems on the video

Фото профиля Patrick Collins
Patrick Collins1 год назад

Cuz you made Curve, you’re not human. The rest of us are mere mortals.

Фото профиля yinka
yinka1 год назад

lmaoooo

Фото профиля Chris Kim
Chris Kim1 год назад

The painnn

Фото профиля ijonas
ijonas1 год назад

What is this voodoo magic I'm seeing!?

Фото профиля Patrick Collins
Patrick Collins1 год назад

ur welcome

Фото профиля Centauri.eth (ZKmaxi)🦇🔊
Centauri.eth (ZKmaxi)🦇🔊1 год назад

Whoooa, what magic is this?

Фото профиля Patrick Collins
Patrick Collins1 год назад

uv is the future of python

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🚨 THIS IS ACTUALLY INSANE Python developers are still installing five different tools to manage one project. `pip` for packages. `virtualenv` for environments. `pyenv` for Python versions. `pipx` for CLI tools. `poetry` for project management. uv replaces all of them with one tool. And it’s written in Rust. The headline number: 10–100× faster than pip. But speed isn't even the most interesting part. uv can: → Create and manage Python projects → Resolve dependencies with a universal lockfile → Create virtual environments → Install and switch between Python versions → Run standalone Python scripts with dependencies → Install CLI tools with `uvx` → Compile and sync requirements → Manage Cargo-style workspaces The workflow becomes ridiculously simple: `uv init` → create a project `uv add` → add dependencies `uv run` → run your code `uv lock` → lock dependencies `uv sync` → reproduce the environment And if you're already using pip? You don't have to throw your workflow away. The `uv pip` interface is designed as a drop-in replacement while giving you the speed boost. The other clever bit: uv uses a global cache to deduplicate dependencies and save disk space. So instead of assembling a Python toolchain piece by piece, you get one fast CLI that covers the whole workflow. And unlike a lot of newer developer tools, uv is already considered stable and production-ready. If you work with Python, this is one of those tools you should probably try once. You might not go back. #Python #DevTools #Rust #OpenSource #Programming #AIEngineering

Vikas gupta

40,065 просмотров • 19 дней назад