Overview
- Overview
-
A tutorial series introducing pandas and key data-wrangling workflows in Anaconda and Google Colab.
- Audience
-
This tutorial series was designed for students and researchers learning practical pandas workflows. The materials are generally applicable to students of any level and degree program.
Content
Tutorial Overview
Two tutorial sequences introduce pandas in Anaconda and Google Colab. Topics include dataframes, series, data types, sorting, grouping, aggregation, reshaping, merging, missing data, visualization, and export. Session videos and the combined scripts-and-data archive appear under Materials.
Resources
- Materials
-
- Anaconda Session 1: Basic pandas
- Anaconda Session 2: Sorting and Grouping Data
- Anaconda Session 3: Reshaping and Merging Dataframes
- Colab Session 1: Setup and Python Basics
- Colab Session 2: DataFrames, Series, and Data Types
- Colab Session 3: Recoding and Creating Variables
- Colab Session 4: Grouping, Aggregation, and Missing Values
- Colab Session 5: Sorting, Visualization, and Exporting
- Tutorial scripts and data
- Relevant Literature
-
Browse references and supporting literature for this training module in the Organization of Power Lab Zotero library.
Open this training module's Zotero collection