🐍 Virtual Environment Manager

🌟 Elevate Your Python Development Workflow

venv_py virtual environment lifecycle manager.

✨ Key Features

• 🚀 Effortless Environment Management

  • Create and run commands in virtual environments on the fly
  • Cross-platform support (Windows and Unix-like systems)

• 🔍 Smart Consistency Checking

  • Validate environment configurations
  • Ensure package and file integrity

• 🛡️ Robust Error Handling

  • Detailed logging
  • Comprehensive error messages

• 🔧 Flexible Command Execution

  • Run commands directly within virtual environments
  • Retrieve and inspect command results

Usage

from venv_py import EnvManager

# Installing libraries
EnvManager(".some_env").run("pip", "install", "requests", "pandas").result()

# Reset the state, flushing libraries
EnvManager(".some_env").flush().run("python script.py").result()

Context Manager Usage

with EnvManager(".venv") as venv:
    # Automatic environment lifecycle management
    venv.run("python", "my_script.py").result()

📦 Requirements

• Python: 3.8+
• Platforms: Windows, macOS, Linux

🤝 Contributing

1. 🍴 Fork the repository
2. 🌿 Create a feature branch
3. 🔨 Make your changes
4. ✅ Run tests
5. 📤 Submit a pull request

📄 License

MIT License - Free to use, modify, and distribute

🌈 Powered By

• Pure Python
• Standard Library
• Community Love ❤️