Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

UV Package Manager Comprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project management and dependency workflows. When to Use This Skill Setting up new Python projects quickly Managing Python dependencies faster than pip Creating and managing virtual environments Installing Python interpreters Resolving dependency conflicts efficiently Migrating from pip/pip tools/poetry Speeding up CI/CD pipelines Managing monorepo Python projects Working with lockfiles for reproducible builds Optimizing Docker builds with Python dependencies Core Concepts 1. What is uv? Ultra fast package installer : 10 100x faster than pip Written in Rust : Leverages Rust's performance Drop in pip replacement : Compatible with pip workflows Virtual environment manager : Create and manage venvs Python installer : Download and manage Python versions Resolver : Advanced dependency resolution Lockfile support : Reproducible installations 2. Key Features Blazing fast installation speeds Disk space efficient with global cache Compatible with pip, pip tools, poetry Comprehensive dependency resolution Cross platform support (Linux, macOS, Windows) No Python required for installation Built in virtual environment support 3. UV vs Traditional Tools vs pip : 10 100x faster, better resolver vs pip tools : Faster, simpler, better UX vs poetry : Faster, less opinionated, lighter vs conda : Faster, Python focused Installation Quick Install Verify Installation Quick Start Create a New Project Install Dependencies Virtual Environment Management Pattern 1: Creating Virtual Environments Pattern 2: Activating Virtual Environments Pattern 3: Using uv run Package Management Pattern 4: Adding Dependencies Pattern 5: Removing Dependencies Pattern 6: Upgrading Dependencies Pattern 7: Locking Dependencies Python Version Management Pattern 8: Installing Python Versions Pattern 9: Setting Python Version Project Configuration Pattern 10: pyproject.toml with uv Pattern 11: Using uv with Existing Projects For advanced workflows including Docker integration, lockfile management, performance optimization, tool comparison, common workflows, tool integration, troubleshooting, best practices, migration guides, and command reference, see [references/advanced patterns.md](references/advanced patterns.md)

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