Tutorials

This is a guide to many pandas tutorials, geared mainly for new users.

Internal Guides

More complex recipes are in the Cookbookopen in new window.

The goal of this 2015 cookbook (by Julia Evansopen in new window) is to give you some concrete examples for getting started with pandas. These are examples with real-world data, and all the bugs and weirdness that entails. For the table of contents, see the pandas-cookbook GitHub repositoryopen in new window.

This guideopen in new window is an introduction to the data analysis process using the Python data ecosystem and an interesting open dataset. There are four sections covering selected topics as munging dataopen in new window, aggregating dataopen in new window, visualizing dataopen in new window and time seriesopen in new window.

Practice your skills with real data sets and exercises. For more resources, please visit the main repositoryopen in new window.

Tutorial series written in 2016 by Tom Augspurgeropen in new window. The source may be found in the GitHub repository TomAugspurger/effective-pandasopen in new window.

Pandas From The Ground Upopen in new window (2015) (2:24) GitHub repoopen in new window
Introduction Into Pandasopen in new window (2016) (1:28) GitHub repoopen in new window
Pandas: .head() to .tail()open in new window (2016) (1:26) GitHub repoopen in new window
Data analysis in Python with pandasopen in new window (2016-2018) GitHub repoopen in new window and Jupyter Notebookopen in new window
Best practices with pandasopen in new window (2018) GitHub repo and Jupyter Notebookopen in new window