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Copy file name to clipboardExpand all lines: 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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### Python
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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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We will test our environment setup using a test notebook (`test_setup.ipynb`) that you downloaded in the data section.
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In a Terminal, Jupyter Prompt or Anaconda Prompt, make sure you are in the `student_download` directory.
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In a Terminal, Jupyter Prompt or MiniForge Prompt, make sure you are in the `student_download` directory.
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To start Jupyter, make sure you have activated your new conda environment, then run:
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```
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## Why didn't the imports work?
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Occasionally learners will need to take one additional step to make Jupyter run within the environment we have created.
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If your imports fail, close Jupyter by closing its terminal, and try running the following from your Anaconda prompt (
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If your imports fail, close Jupyter by closing its terminal, and try running the following from your MiniForge Prompt (
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