G
Environments
Using environments is a great way to work with different versions of Python and/or packages. It also provides an isolated environment to install everything so that if something goes wrong, it won’t affect the rest of the system. Python environments are particularly handy when you need different versions of packages installed across different projects. You can also use environments to see all the package dependencies.
G.1 Conda Environments
The Anaconda Python distribution comes with conda. The “Getting Started” guide is a useful resource in this case.1 If you installed Anaconda with Python 3 (Appendix B), this appendix will show you how to create a separate environment that has a different version of Python in it. If we run ...
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