🎯

manage-python-env

🎯Skill

from dudusoar/vrp-toolkit

VibeIndex|
What it does

Quickly manages Python virtual environments, packages, and dependencies using uv, providing fast and modern project setup commands.

manage-python-env

Installation

Install skill:
npx skills add https://github.com/dudusoar/vrp-toolkit --skill manage-python-env
4
Last UpdatedJan 12, 2026

Skill Details

SKILL.md

Quick reference for uv (fast Python package manager) operations to save tokens. Use when creating virtual environments, installing packages, managing dependencies, or when user asks about uv commands. Provides concise patterns for Python project setup and package management.

Overview

# UV Management

Quick reference for uv - the fast Python package installer and environment manager.

Installation

Install UV

```bash

# macOS/Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

# Or with pip

pip install uv

# Verify installation

uv --version

```

Project Initialization

Create New Project

```bash

# Initialize new project

uv init project-name

# Initialize in current directory

uv init

# With specific Python version

uv init --python 3.11

```

Project Structure Created

```

project-name/

β”œβ”€β”€ pyproject.toml # Project configuration

β”œβ”€β”€ .python-version # Python version specification

└── src/

└── project_name/

└── __init__.py

```

Virtual Environment

Create Virtual Environment

```bash

# Create venv (automatic with uv)

uv venv

# With specific Python version

uv venv --python 3.11

# With custom name

uv venv .venv-custom

# Activate (same as regular venv)

source .venv/bin/activate # macOS/Linux

.venv\Scripts\activate # Windows

```

Python Version Management

```bash

# List available Python versions

uv python list

# Install specific Python version

uv python install 3.11

# Pin Python version for project

uv python pin 3.11

```

Package Management

Install Packages

```bash

# Install single package

uv pip install package-name

# Install specific version

uv pip install package-name==1.2.3

# Install from requirements.txt

uv pip install -r requirements.txt

# Install from pyproject.toml

uv pip install -e .

# Install development dependencies

uv pip install -e ".[dev]"

```

Add Dependencies (Modern Way)

```bash

# Add package to project

uv add numpy

# Add with version constraint

uv add "numpy>=1.24,<2.0"

# Add multiple packages

uv add numpy pandas matplotlib

# Add as dev dependency

uv add --dev pytest black ruff

# Add from git

uv add git+https://github.com/user/repo.git

```

Remove Packages

```bash

# Remove package

uv remove package-name

# Remove dev dependency

uv remove --dev pytest

```

Update Packages

```bash

# Update single package

uv pip install --upgrade package-name

# Update all packages

uv pip install --upgrade -r requirements.txt

# Sync dependencies (recommended)

uv sync

```

Dependency Management

Lock Dependencies

```bash

# Generate lock file

uv lock

# Lock and sync

uv lock --sync

```

Export Requirements

```bash

# Export to requirements.txt

uv pip freeze > requirements.txt

# Export from pyproject.toml

uv export --format requirements-txt > requirements.txt

```

Running Commands

Run Python

```bash

# Run Python script

uv run python script.py

# Run module

uv run -m module_name

# Run with arguments

uv run python script.py --arg value

```

Run Tools

```bash

# Run pytest

uv run pytest

# Run black

uv run black .

# Run ruff

uv run ruff check .

# Run any tool

uv run tool-name [args]

```

VRP Project Setup

Initial Project Setup

```bash

# 1. Create project directory

mkdir vrp-toolkit

cd vrp-toolkit

# 2. Initialize with uv

uv init

# 3. Create virtual environment

uv venv

# 4. Activate environment

source .venv/bin/activate

# 5. Install core dependencies

uv add numpy pandas matplotlib networkx

# 6. Install dev dependencies

uv add --dev pytest black ruff ipython jupyter

# 7. Install OSMnx (for real map support)

uv add osmnx geopandas

# 8. Install package in editable mode

uv pip install -e .

```

pyproject.toml for VRP Toolkit

```toml

[project]

name = "vrp-toolkit"

version = "0.1.0"

description = "Reusable VRP/PDPTW solving framework"

requires-python = ">=3.8"

dependencies = [

"numpy>=1.24.0",

"pandas>=2.0.0",

"matplotlib>=3.7.0",

"networkx>=3.0",

]

[project.optional-dependencies]

dev = [

"pytest>=7.0.0",

"black>=23.0.0",

"ruff>=0.1.0",

"ipython>=8.0.0",

"jupyter>=1.0.0",

]

osmnx = [

"osmnx>=1.6.0",

"geopandas>=0.14.0",

"folium>=0.15.0",

]

[build-system]

requires = ["hatchling"]

build-backend = "hatchling.build"

[tool.ruff]

line-length = 100

target-version = "py38"

[tool.black]

line-length = 100

target-version = ["py38"]

```

Install All Dependencies

```bash

# Install main dependencies

uv add numpy pandas matplotlib networkx

# Install dev tools

uv add --dev pytest black ruff ipython jupyter

# Install OSMnx group

uv add osmnx geopandas folium

# Or install from pyproject.toml

uv sync

```

Common Workflows

Daily Development

```bash

# Activate environment

source .venv/bin/activate

# Run tests

uv run pytest

# Format code

uv run black .

# Lint code

uv run ruff check .

# Run Jupyter

uv run jupyter lab

```

Add New Dependency

```bash

# Add package

uv add package-name

# Test it works

uv run python -c "import package_name; print('OK')"

# Commit updated pyproject.toml

git add pyproject.toml uv.lock

git commit -m "chore: add package-name dependency"

```

Clean Install

```bash

# Remove existing environment

rm -rf .venv

# Recreate

uv venv

# Reinstall all dependencies

uv sync

# Verify

uv run python -c "import numpy; print(numpy.__version__)"

```

Comparison with pip/venv

| Task | Traditional | UV |

|------|------------|-----|

| Create venv | python -m venv .venv | uv venv |

| Activate | source .venv/bin/activate | Same |

| Install package | pip install package | uv add package |

| Install requirements | pip install -r requirements.txt | uv pip install -r requirements.txt |

| Freeze deps | pip freeze > requirements.txt | uv pip freeze > requirements.txt |

| Run tool | python -m pytest | uv run pytest |

Key Advantages of UV:

  • ⚑ 10-100x faster than pip
  • πŸ”’ Built-in dependency locking
  • 🐍 Python version management
  • πŸ“¦ Cleaner dependency specification in pyproject.toml

Additional Resources

Troubleshooting

Common issues and solutions: See [troubleshooting.md](references/troubleshooting.md)

  • UV not found after install
  • Wrong Python version
  • Dependency conflicts
  • Package not found

Advanced Usage

Power user features: See [advanced.md](references/advanced.md)

  • Multiple environments
  • Dependency groups
  • Build and publish
  • Integration with other skills

Migration from pip

Convert existing projects: See [migration.md](references/migration.md)

  • Convert requirements.txt to pyproject.toml
  • Migrate existing project step-by-step
  • pip vs UV comparison

Quick Reference

| Task | Command |

|------|---------|

| Init project | uv init |

| Create venv | uv venv |

| Add package | uv add package |

| Add dev dep | uv add --dev tool |

| Install all | uv sync |

| Run script | uv run python script.py |

| Run tool | uv run pytest |

| Update all | uv sync --upgrade |

| Lock deps | uv lock |

| Export reqs | uv pip freeze > requirements.txt |

| Python version | uv python install 3.11 |

| Pin Python | uv python pin 3.11 |

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