Notebooks and virtual environments

After this lesson you can: Keep projects isolated and know when a notebook is the wrong tool.

Watch

• Python Tutorial: virtualenv and why you should use virtual environments - Corey Schafer, 10 min. Directly targets why environments exist, ideal for breaking the global-install habit before AI projects.
• Python Tutorial: VENV (Windows) - How to Use Virtual Environments with the Built-In venv Module - Corey Schafer, 17 min. Practical built-in venv walkthrough, useful for beginners who need repeatable project isolation without extra tools.
• Python Virtual Environments - Full Tutorial for Beginners - Tech With Tim, 9 min. Short beginner-focused tutorial that reinforces the core workflow of creating and using isolated environments.

Notes

A virtual environment is a private Python workspace for one project. Instead of installing packages into the computer’s shared Python installation, you create a small project-local environment, activate it, and install only that project’s dependencies there. This keeps one project’s TensorFlow, pandas, or notebook tooling from silently changing another project’s behavior.

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