Running Jupyter

To run the Jupyter notebook you have a few options, in order of difficulty from least to most effort required:

• Sign up for Google Colab
• Install Anaconda
• Install Conda

Google Colab is a good option if you’re on a machine where you’re unable to or unwilling to install anything. It provides an online interface with most major libraries able to be called through it.

Anaconda is good if you want to install a package manager with a GUI (graphical user interface) and have Python installed along with most of the major libraries used for numerical and scientific computing, though it’s a bit of a large install and overkill for just starting out.

Conda is the lightweight package manager that’s under the hood of Anaconda and administered through the command line. It allows you to install only what you need for your environment. If you go this route, for this course please have the following packages installed in addition to the latest version of Python:

• Jupyter
• Matplotlib
• Numpy
• Pandas

Note that running Jupyter through Conda/Anaconda opens a browser window for Jupyter to run in, though unlike Google Colab, Jupyter runs locally on your machine.