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Python devs. Use uv.

Patrick Collins

112,573 subscribers

24,334 次观看 • 1 年前 •via X (Twitter)

科学技术教育

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11 条评论

Patrick Collins 的头像

Patrick Collins1 年前

I'm also funny on YouTube sometimes.

Patrick Collins 的头像

Patrick Collins1 年前

and crew doing the lords work

ana howard ☻ 的头像

ana howard ☻1 年前

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

Michael Egorov 的头像

Michael Egorov1 年前

Funny but I literally never had the problems on the video

Patrick Collins 的头像

Patrick Collins1 年前

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

yinka 的头像

yinka1 年前

lmaoooo

Chris Kim 的头像

Chris Kim1 年前

The painnn

ijonas 的头像

ijonas1 年前

What is this voodoo magic I'm seeing!?

Patrick Collins 的头像

Patrick Collins1 年前

ur welcome

Centauri.eth (ZKmaxi)🦇🔊 的头像

Centauri.eth (ZKmaxi)🦇🔊1 年前

Whoooa, what magic is this?

Patrick Collins 的头像

Patrick Collins1 年前

uv is the future of python

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uv—you've probably heard of it, but are you using it for... pretty much everything? Save time and speedup your workflows (in under 10 minutes) in my latest video. 00:00 - Introduction to uv 00:38 - Installing Python versions with uv 01:14 - Project initialization and setup 02:31 - Creating virtual environments 03:35 - Package management with uv 06:12 - Running Python projects with uv

uv—you've probably heard of it, but are you using it for... pretty much everything? Save time and speedup your workflows (in under 10 minutes) in my latest video. 00:00 - Introduction to uv 00:38 - Installing Python versions with uv 01:14 - Project initialization and setup 02:31 - Creating virtual environments 03:35 - Package management with uv 06:12 - Running Python projects with uv

matt palmer

31,784 次观看 • 1 年前

🚨 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

🚨 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 次观看 • 19 天前

Setting up a Python agent shouldn't take all day. Watch how we use uv (the blazing fast package manager written in Rust) to initialize an environment and install the Agent Development Kit instantly →

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Python in Excel! Microsoft has announced Python and Excel integration today. Python in Excel brings the power of Python analytics into Excel. Use it to process data in Excel with Python code. More details 🧵👇

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Afiz ⚡️

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Toughest Interview Question Ever? 🤔 There were lots of great attempts to answers this: ✅Java devs said Unreachable Code☕️ ✅JavaScript devs said Variable Scope💩 ✅Python devs really had no clue🐍 Here's the answer. 👍 Just promise u won't hate me!😊

Toughest Interview Question Ever? 🤔 There were lots of great attempts to answers this: ✅Java devs said Unreachable Code☕️ ✅JavaScript devs said Variable Scope💩 ✅Python devs really had no clue🐍 Here's the answer. 👍 Just promise u won't hate me!😊

Darcy DeClute | Scrum | Python | GitHub | Java | X

332,232 次观看 • 3 年前

Today I’m proud to launch Context, a CLI and open-source corpus for the python ecosystem - 4M quality embeddings of the top 1218 Python Libraries. $ pip install fleet-context or download to get the entire python universe. Here’s why this is game-changing for both Devs and LLMs

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Nicolai Ouporov

310,942 次观看 • 2 年前

Finally, Python 3.14 lets you disable GIL! It's a big deal because earlier, even if you wrote multi-threaded code, Python could only run one thread at a time, giving no performance benefit. But now, Python can run your multi-threaded code in parallel. And uv fully supports it!

Finally, Python 3.14 lets you disable GIL! It's a big deal because earlier, even if you wrote multi-threaded code, Python could only run one thread at a time, giving no performance benefit. But now, Python can run your multi-threaded code in parallel. And uv fully supports it!

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547,058 次观看 • 1 年前

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38,912 次观看 • 10 个月前

A little video that - explains the relationship between conventional LLMs and reasoning models (and agents), - philosophizes a about "from scratch" approaches, - and explains how to install Python & PyTorch requirements with uv.

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