Using Jupyter Hub and notebooks

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

You will be writing all of your code for the course using Jupyter Notebook.

You can find more information at http://jupyter.org.

  1. Double-click Jupyter Hub desktop icon and log in with your credentials. You will not need to authenticate with OTP. alt text

  2. A list of files and directories will be shown. This is your home folder. From here, you can navigate to an existing project workspace or start a new notebook from scratch by clicking the New button, then Python 2. alt text

  3. Once you've opened a notebook, you can begin writing and executing Python code. More information will be given in class on this. alt text

This concludes the User Guides. We'll be posting more guides as the course continues, so please check back from time to time.