- Virtual environments keep your project dependencies isolated.
- They help you avoid version conflicts between packages and different versions of the Python runtime.
- As a best practice, all of your Python projects should use virtual environments to store their dependencies.
Recap and Summary
00:00 Congratulations on completing the virtual environments module in the course! Here is what you covered: You learned what virtual environments are, you learned how to create and activate them, you learned how to install packages into a virtual environment.
00:14 And you’ve also learned how to deactivate and even destroy a virtual environment. And last, I showed you some tricks on how you can optimize your virtual environment workflow and make it a little bit more efficient.
00:26 In the last few lectures you learned about virtual environments and how they can help you keep your project dependencies under control. Virtual environments help keep your project dependencies isolated so that you can avoid version conflicts between packages and different versions of the Python runtime.
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