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CommunityData:Hyak
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=== Anaconda === We recently switched to using Anaconda to manage Python on Hyak. Anaconda comes with the `conda` tool for managing python packages and versions. Multiple python environments can co-exist in a single Anaconda installation, this allows different projects to use different versions of Python or python packages, which can be useful for maintaining projects that use old versions. By default, our shared setup loads a conda environment called `minimal_ds` that provides recent versions of python packages commonly used in data science workflows. This is probably a good setup for most use-cases, and allows everyone to use the same packages, but it can be even better to create different environments for each project. See the [https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands anaconda documentation for how to create an environment]. To learn how to install Python packages, see the [[CommunityData:Hyak software installation#Python packages|Python packages installation instructions]] on this wiki.
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