This session will introduce Jupyter, particularly the Jupyterlab and Jupyter Notebook interfaces. We will discuss:
- 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
This session will also introduce basic Python programming and the Python numerical stack including packages like NumPy, SciPy, Pandas, and Matplotlib. We will go over one or two hands-on examples to demonstrate some of these packages and how you use them with Jupyter. We will discuss good coding practices and research project organization. Finally, we will discuss how to use Jupyter to share your results.
CI Pathways is a training program led by the National Center for Supercomputing Applications and the Pittsburgh Supercomputing Center funded by NSF award 2417789. For more information about the program, please visit the CI Pathways webpage on HPC-Moodle.