AuthorsB. Ragan-Kelley and P. Jupyter
TitleInteractive CSE with IPython and Jupyter
AfilliationScientific Computing
Project(s)No Simula project
Publication TypeTalks, contributed
Year of Publication2017
Location of TalkSIAM CSE 2017, Atlanta, USA
PublisherSIAM Conference on Computational Science and Engineering

IPython and Jupyter provide tools for interactive computing that are widely used in science and education, and can benefit any CSE instructor, student, or researcher. We will show how to use IPython to improve your interactive explorations in Python, and how Jupyter notebooks enable interactive exploration, teaching, learning, and reproducibility, in Python as well as other languages such as MatLab, Julia, and R.

The first part of the tutorial will focus on using IPython to get the most out of the tools provided by the Scientific Python community. The second part will cover Jupyter more broadly, including how working with the notebook document format can enable shareable, reproducible analyses.

Citation Key25095