The Best Package Manager in Python

Опубликовано: 03 Май 2026
на канале: Numeryst
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Tired of pip install headaches, venv management hell, and wasting time juggling requirements.txt? You're not alone! For years, Python developers have been stuck in a package management loop that feels slow, messy, and painful.

But what if there was a faster, cleaner, and radically simpler way?

Enter UV, the revolutionary new package manager that is promising to be the best thing to happen to the Python ecosystem. Built to be lightning-fast, UV handles package installation, virtual environments, and dependency resolution with incredible speed.

In this comprehensive guide, we'll dive deep into how to use UV and demonstrate why it might just replace Pip, Virtualenv, and even Poetry for your projects!

[00:00] Intro: The Problem with Python Package Management
[00:22] Introducing UV: What it is and its benefits
[00:29] How to Install UV
[00:51] Managing Python Versions with uv python install
[02:01] Running Scripts with a Specific Python Version using uv run
[03:17] Adding Third-Party Packages and Module Not Found Error
[04:14] Using Comments for Configuration (Script Header)
[04:56] Adding Dependencies to a Script with uv add
[05:27] Debugging Exact Version Conflicts
[06:40] Removing Dependencies with uv remove
[06:52] Initializing a Project with uv init
[07:05] Understanding Project Files (pyproject.toml, python-version)
[07:23] The Virtual Environment and Lock File (venv, uv.lock)
[08:02] Integrating UV with VS Code
[09:37] Synchronizing Packages with uv sync & uv lock
[09:57] Using uv pip install (The Old Way)

What You'll Learn in This Video:

⚡️ UV Installation: Get UV up and running on Windows, Linux, and macOS with a single command.

🐍 Managing Python Versions: Learn how to use uv python install and uv python find to effortlessly manage multiple Python interpreters (e.g., 3.11, 3.12, 3.13).

🚀 Running Scripts with Specific Versions: Master the powerful uv run command to execute a script using a precise Python version and package set, avoiding compatibility issues.

📦 Simple Dependency Management: See how uv add and uv remove automatically manage packages like requests and torch directly from your script's comment section.

⚙️ Project Initialization: Discover uv init to set up a new project with a virtual environment (venv), a .python-version file, and a clean pyproject.toml.

🔄 Syncing and Locking: Use uv sync and uv lock to ensure reproducible environments by creating the crucial uv.lock file with exact package versions.

🖥️ VS Code Integration: Set up your VS Code environment to automatically use the UV-managed virtual environment.

🔥 Bonus: Can you still use Pip with UV? Find out!

🛠️ Essential UV Commands Covered:
uv python install
uv python find
uv run
uv init
uv add
uv remove
uv sync
uv lock
uv pip install

🔗 Resources & Links:
https://docs.astral.sh/uv/getting-sta...
https://docs.astral.sh/uv/
https://pytorch.org/

🔔 Don't forget to Like and Subscribe!

If this video helped you conquer Python package management and you're as excited about UV as I am, please like this video and subscribe to the channel for more cutting-edge Python content!

Let me know in the comments: Are you switching to UV, or is there a feature you're still waiting for?

#python #uv #packagemanager #pip #virtualenvironment