Virtual Environments in Python
Blog post from Deepgram
Python virtual environments isolate project-specific packages and dependencies, preventing conflicts such as needing different Flask versions across multiple applications that would otherwise overwrite one another during global pip installations. Python’s built-in venv module creates a dedicated directory containing Python binaries and package storage, and activating it directs both pip and Python to use that environment rather than system-wide packages. The process involves creating a project folder, running `python3 -m venv` with a chosen environment name—commonly `venv`—and activating it through the environment’s activation script; an optional prompt flag can provide a more recognizable command-line label. Once active, developers can install and inspect packages with pip commands without affecting other projects, then leave the isolated environment using `deactivate`.
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