Python virtual environment
Why a Virtual Environment Is Needed Isolation of Dependencies Keeps project-specific packages separate from global Python installation. Prevents version conflicts between different projects. Avoids “Dependency Hell” You might need Django 3.2 for one project and Django 4.0 for another—virtual environments make that possible. Cleaner Development Workflow No clutter in your global Python setup. Easy to replicate environments across machines or teams. Better Optimization & Deployment You can freeze exact dependencies ( requirements.txt ) for production. Speeds up CI/CD pipelines and reduces bugs due to mismatched versions. How It Works A virtual environment creates a self-contained directory with its own Python interpreter and site-packages . When activated, your terminal uses this isolated Python setup instead of the system-wide one. You can install packages via pip and they’ll only affect this environment. How to Create & Use It (CMD Commands) St...