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► Take a free 5-day Python class on Dependency Management & Packaging When you install Python packages globally there can be only one version of a Python library across all of your programs. This means you'll quickly run into version conflicts. The solution to these problems is separating your Python environments with so-called virtual environments. They allow you to separate Python dependencies by project, including selecting between different versions of the Python interpreter. A Virtual Environment (or “virtualenv“, “venv“ for short) is an isolated Python environment. Physically, it lives inside a folder containing all the packages and other dependencies, like native-code libraries and the interpreter runtime, that a Python project needs. To demonstrate how virtual environments work as a “sandbox“ I'll give you a quick walkthrough where we'll set up a new environment (or virtualenv, as they're called for short) and then install a third-party package into it using the Python pip command. To get more Python Tricks and to discover the full potential of Python check out “Python Tricks: The Book“ at the link below: ► Write Clean & Beautiful Python: SUBSCRIBE TO THIS CHANNEL: * * * ► Python Developer MUGS, T-SHIRTS & MORE: FREE Python Tutorials & News: » Python Tutorials: » Python News on Twitter: @dbader_org » Weekly Tips for Pythonistas: » Subscribe to this channel:
