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How to Use Different Python Version for Each Project — Workflow
- Creating separate virtual environments for each project allows you to isolate Python versions and libraries to avoid interference.
- VENV tool helps manage dependencies for Python projects by creating isolated spaces for each project.
- Avoid conflicts and keep projects organized by using virtual environments (venv) instead of installing dependencies globally.
- For Windows, use Command Prompt or PowerShell, and for macOS or Linux, use Terminal for Python installation.
- By keeping the virtual environment outside the project folder, project directories are kept clean and organized.
- Naming the environments directory with Python versions helps easily track versions used for each project.
- After setting up Python versions, create virtual environments for each project following specific steps for Windows or macOS/Linux.
- Activate the virtual environment, navigate to the project folder, and install dependencies while ensuring the environment is active.
- This workflow is suitable for local development but not recommended for production; for production environments, use Docker or cloud services.
- Managing different Python versions per project helps avoid compatibility issues and ensures smooth operations.
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