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Co-authored-by: Marianne Corvellec <[email protected]>
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learners/setup.md

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The example images and a description of the Python environment used in this lesson are available on [FigShare](https://figshare.com/).
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To download the data, please visit [the dataset page for this workshop][figshare-data]
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and click the "Download all" button.
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Unzip the downloaded file, and save the contents as a folder called `data` somewhere you will easily find it again,
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Unzip the downloaded file, and save the contents as a folder called `data` somewhere you will easily find it again,
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e.g. your Desktop or a folder you have created for using in this workshop.
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(The name `data` is optional but recommended, as this is the name we will use to refer to the folder throughout the lesson.)
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## Software
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1. Download and install the latest [MiniForge distribution of Python](https://conda-forge.org/download/) for your operating system.
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1. Download and install the latest [Miniforge distribution of Python](https://conda-forge.org/download/) for your operating system.
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If you already have a Python 3 setup that you are happy with, you can continue to use that (we recommend that you make sure your Python version is current).
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The next step assumes that `conda` is available to manage your Python environment.
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2. Setup an environment to work in during the lesson.
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2. Set up an environment to work in during the lesson.
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In a terminal (Linux/Mac) or the MiniForge Prompt application (Windows), navigate to the location where you saved the unzipped data for the lesson and run the following command:
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```bash
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## Instructions for Windows
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Launch the MiniForge Prompt program and type `jupyter lab`.
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Launch the Miniforge Prompt program and type `jupyter lab`.
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(Running this command on the standard Command Prompt will return an error:
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`'jupyter' is not recognized as an internal or external command, operable program or batch file.`)
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