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md5sum.txt

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"instructors/prereqs.md" "23b74549b6aafaefff36a4b07472b4f9" "site/built/prereqs.md" "2023-05-15"
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"learners/discuss.md" "2758e2e5abd231d82d25c6453d8abbc6" "site/built/discuss.md" "2023-05-15"
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"learners/reference.md" "71e85f5a0a8e3557a56c931138742265" "site/built/reference.md" "2023-05-15"
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"learners/setup.md" "ffba26b9065b98c7737604ae264a18b4" "site/built/setup.md" "2024-03-08"
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"learners/setup.md" "4ba06548460d5d146eeffed0d7cdf185" "site/built/setup.md" "2025-04-01"
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"profiles/learner-profiles.md" "60b93493cf1da06dfd63255d73854461" "site/built/learner-profiles.md" "2023-05-15"

setup.md

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[Python](https://python.org) is a popular language for
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scientific computing, and great for general-purpose programming as
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well. For this workshop we use Python version 3.x.
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Installing all of its scientific packages individually can be
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a bit difficult, so we recommend an all-in-one installer.
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We will use Anaconda.
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Installing all of its scientific packages individually can be a bit difficult, so we provide an environment file to help you take care of them all together.
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We will use the _Miniforge_ distribution of Python.
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### Anaconda
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Download and install [Anaconda](https://www.anaconda.com/download).
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Download and install [MiniForge](https://conda-forge.org/download/).
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To create a new Conda environment, which includes the additional packages we will be using
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in this workshop, you will need the environment file (`environment.yml`) you downloaded in the data section.

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