Tutorials — pandas 0.24.0rc1 documentation (original) (raw)

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

Community Guides¶

pandas Cookbook by Julia Evans¶

The goal of this 2015 cookbook (by Julia Evans) 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 repository.

Exercises for new users¶

Practice your skills with real data sets and exercises. For more resources, please visit the main repository.

Video Tutorials¶

• Pandas From The Ground Up(2015) (2:24)GitHub repo
• Introduction Into Pandas(2016) (1:28)GitHub repo
• Pandas: .head() to .tail()(2016) (1:26)GitHub repo
• Data analysis in Python with pandas(2016-2018)GitHub repo andJupyter Notebook
• Best practices with pandas(2018)GitHub repo andJupyter Notebook

Various Tutorials¶

• Wes McKinney’s (pandas BDFL) blog
• Statistical analysis made easy in Python with SciPy and pandas DataFrames, by Randal Olson
• Statistical Data Analysis in Python, tutorial videos, by Christopher Fonnesbeck from SciPy 2013
• Financial analysis in Python, by Thomas Wiecki
• Intro to pandas data structures, by Greg Reda
• Pandas and Python: Top 10, by Manish Amde
• Pandas DataFrames Tutorial, by Karlijn Willems
• A concise tutorial with real life examples