# JupyterHub for class

   

For in-class exercises and tutorials we will be using Jupyter notebooks, an interactive web-based interface combining narrative text and live code you can tweak and run yourself.

The backend to streamline this is called a JupyterHub, a multi-user server designed to support many users by managing singular Jupyter Notebook servers.

   

```{image} ../images/jupyter_nb_df_demo.gif
:width: 100%
:align: center
```
````{margin}
```{image}  ../images/colab_lg.png
:alt: Google Colab
:width: 100%
:align: center
```
Click here for a [Guided Tour of Colab](https://colab.research.google.com/).
````
   
   

The exercises and programming practice for this course will be done on [Colaboratory](https://research.google.com/colaboratory/faq.html), Google's online front end interface from its cloud. Datasets on GDrive can be accessed via a Jupyter Notebook on Colab.