Python UV Package Management Best Practices: Exclusive Dependency Handling Guide
Streamline your Python projects with UV for superior package management. Discover essential commands, script integration, and rules to avoid pip or poetry pitfalls for faster, reliable dependency control.
1. **Adopt UV as Your Sole Dependency Manager**: Enforce UV for all installations, synchronizations, and lockfile generations in Python projects. Prohibit alternatives like pip, pip-tools, or poetry to ensure consistency and speed. 2. **Master Core Dependency Commands**: Use `uv add <package>` to install or update packages, `uv remove <package>` to eliminate them, and `uv sync` to reinstall everything from the lockfile, keeping your environment precise and reproducible. 3. **Execute Scripts with Dependency Awareness**: Launch Python scripts via `uv run script.py` to automatically resolve and load required dependencies without manual activation. 4. **Embed Dependencies Directly in Scripts**: Customize script metadata inline using comments like `/// script` blocks to specify Python version and packages (e.g., requires-python and dependencies list), enabling self-contained execution. 5. **Handle Script-Specific Dependencies via CLI**: Target individual scripts with `uv add package-name --script script.py` for additions/updates, `uv remove package-name --script script.py` for removals, and `uv sync --script script.py` for lockfile-based reinstalls.
Comments
More Rules
View allGLM-4.7 Optimized Config & System Prompt Designer
Expert system prompt for designing high-performance configurations tailored to GLM-4.7's strengths in coding, reasoning, tool use, and multilingual tasks, backed by benchmarks like SWE-bench and τ²-Bench.
GLM-4.7 Open-Source Coding Expert: Optimized System Prompt
Leverage GLM-4.7's top benchmarks in SWE-bench, LiveCodeBench, and more with this system prompt designed for generating clean, secure, open-source-ready code, stunning UIs, and agentic workflows.
GLM-4.7 Optimized Coding Agent
This system prompt transforms an AI into GLM-4.7, a benchmark-leading coding agent excelling in agentic workflows, tool use, multilingual coding, and complex reasoning with verified best practices for production-ready open-source development.
Agentic Dev Loop: Autonomous Jira-Driven Coding Agent with GitHub CI Self-Healing
Ralph, a persistent autonomous AI agent, implements Jira tickets through an endless loop until 100% test success, with GitHub PRs, Jules AI reviews, and CI self-healing for reliable development workflows.
Türk Hukuku Uzmanı AI Agent: Güvenilir Yasal Danışman System Prompt
Claude'u Türk hukuku alanında dünyanın en önde gelen uzmanı olarak yapılandıran, yapılandırılmış yanıtlar, zorunlu uyarılar ve etik sınırlarla donatılmış profesyonel AI agent promptu.
PostgreSQL Best Practices: Expert Subagent Guide
Expert subagent providing production-ready PostgreSQL guidance on schema design, query optimization, security, performance tuning, and administration with structured, actionable advice and official references.