CI Pathways: Interactive Jupyter Notebooks

This session introduces Jupyter, particularly the Jupyterlab and Jupyter Notebook interfaces. It discusses:

• the benefits that Jupyter can bring to research workflows
• how you can set up Jupyter locally or with cloud providers
• how to navigate the interface and work with the various cells

Basic Python programming and the Python numerical stack, including packages like NumPy, SciPy, Pandas, and Matplotlib, are introduced. Two hands-on examples are given to demonstrate some of these packages and how to use them with Jupyter. Additionally, good coding practices, research project organization, and how to use Jupyter to share results are described.