Set-up

We will be using a JupyterHub for the workshop.

cd ~
git clone https://github.com/nmfs-opensci/EDMW-3B-tutorials

You can also see setup - R and setup - Python 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 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 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.