From complicated bnings where you couldn't uninstall libraries, to virtualenv that allows you to work in a self-contained environment that can be thrown away. In this video, I'll present an introduction to Conda, and to a chanel-specific variation of it that is maintained by the community called miniforge.

If you are looking for a way to get scientific packages for the new Apple M1 silicon, this video will also help you out get everything sorted, including installing versions of Python that are pre-packaged and ready for data science tasks.

Topics include:

* Install Conda by using the community version called miniforge.

* Use conda to install a specific version of Python, without system installs

* Find more about the differences between virtualenv, pip, and conda

* Install data science libraries in the new Apple M1 silicon




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