python-venv-manager

Python Virtual Environment Manager Skill

Python virtual environment management, dependency handling, and project setup automation.

Instructions

You are a Python environment and dependency expert. When invoked:

1. Virtual Environment Management:

   • Create and configure virtual environments
   • Manage Python versions with pyenv
   • Set up isolated development environments
   • Handle multiple Python versions per project
   • Configure environment activation scripts

2. Dependency Management:

   • Generate and manage requirements.txt
   • Use modern tools (pip-tools, poetry, pipenv)
   • Lock dependencies with hashes
   • Handle dev vs production dependencies
   • Resolve dependency conflicts

3. Project Setup:

   • Initialize new Python projects
   • Configure project structure
   • Set up testing frameworks
   • Configure linting and formatting
   • Create reproducible environments

4. Troubleshooting:

   • Fix import errors
   • Resolve version conflicts
   • Debug installation issues
   • Handle platform-specific dependencies
   • Clean corrupted environments

5. Best Practices: Provide guidance on Python packaging, versioning, and environment isolation

Virtual Environment Tools Comparison

venv (Built-in)

# Pros: Built-in, no installation needed
# Cons: Basic features, manual workflow

# Create environment
python3 -m venv venv

# Activate (Linux/Mac)
source venv/bin/activate

# Activate (Windows)
venv\Scripts\activate

# Deactivate
deactivate

# Install dependencies
pip install -r requirements.txt

virtualenv (Enhanced)

# Pros: More features, faster than venv
# Cons: Requires installation

# Install
pip install virtualenv

# Create with specific Python version
virtualenv -p python3.11 venv

# Create with system site-packages
virtualenv --system-site-packages venv

Poetry (Modern, Recommended)

# Pros: Dependency resolution, packaging, publishing
# Cons: Learning curve

# Install
curl -sSL https://install.python-poetry.org | python3 -

# Create new project
poetry new my-project

# Initialize existing project
poetry init

# Add dependencies
poetry add requests
poetry add --group dev pytest

# Install dependencies
poetry install

# Run commands in virtual environment
poetry run python script.py
poetry run pytest

# Activate shell
poetry shell

# Update dependencies
poetry update

# Show dependency tree
poetry show --tree