Python

Matplotlib is the most popular data visualization library in Python. It allows us to create figures and plots. This tutorial is intended to help you get up-and-running with Matplotlib quickly. We’ll go over how to create the most commonly used plots, and discuss when to use each one.

Please contact dataworkshop@rice.edu if you need to cancel your registration or have any questions.

Every day, thousands (if not more) of programmers, statisticians, data scientists, information professionals, and journalists use Jupyter, an open-source web app that interactively presents live code augmented with visualizations and narrative text. Known as Notebooks, these interactive scripts are perfect for working with (or teaching) coding, as well as telling an unusual story aided by visuals. In this short course, we introduce the basics of installing Jupyter and creating your first notebook.

This is a hands-on workshop that introduces you to Python, one of the most popular programming languages. It covers the basic concepts, conditional statements and loops, functions, etc. Students will begin coding by solving sample problems. A line-by-line explanation will be offered for some real life Python problems as well.

Please contact dataworkshop@rice.edu if you need to cancel your registration or have any questions.