Python Virtual Environments: A Quick Guide

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Creating Python virtual environments is essential for isolating project-specific dependencies from your system’s global Python installation. This helps prevent version conflicts and ensures that your work does not interfere with other projects or system-level packages.

In the report linked below, I provide a concise guide on how to create and manage Python virtual environments, including how to configure Jupyter Notebook to run within a specific environment.

📄 Read the full guide here: intro_virtual_environment.pdf