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Set-up
We will be using a JupyterHub for the workshop. * <https://dhub.opensci.live/> * Click Start Server * Open terminal, type to get the tutorials ``` cd ~ git clone https://github.com/nmfs-opensci/EDMW-3B-tutorials ``` You can also see [setup - R](content/02-local-setup-r.html) and [setup - Python](content/02-local-setup-python.html) to aset up on your computer but be aware that GDAL installation is problemmatic. ## Access to the JupyterHub ### GitHub username * Create a GitHub account (if you don’t already have one) at <https://github.com>. Advice for choosing a GitHub username: this is a professional username that you will use in work settings. GitHub accounts are not anonymous; this is for sharing work. Using your real name is common. * Write down your username and password; you will need to log in during the course! * Here is [a video](https://www.youtube.com/watch?v=nHXw4mGoqiE) showing the whole process ### Get on JupyterHub Once you have submitted your GitHub username and have been accepted as a member of the DaskHub team on the nmfs-opensci organization, you can log-into the JupyterHub. <https://dhub.opensci.live/> * **Choose the default Py-R base geospatial image**. [Watch a video](https://youtu.be/o99jZWHqKi8) of the login process and basic JupyterHub orientation. * home directory is yours and no one else can see it. To share files, you can connect to a GitHub repository or use the `shared` directory. Everyone can read and write to this directory. Please don't delete content that is not your own. ## Earthdata Login account (optional) We will be using a public user account, but if you do a lot of work with NASA Earthdata, you should get a login account. * Create an Earthdata Login account (if you don't already have one) at <https://urs.earthdata.nasa.gov> * Write down your username and password; you will need it.