pandas cookbook
A collection of Jupyter notebooks with real-world examples for learning Python's pandas data analysis library.
What is pandas cookbook?
The Pandas Cookbook is a hands-on guide to using the pandas library for data analysis in Python. It provides concrete examples with real-world datasets, helping users overcome initial learning hurdles and understand practical applications. The cookbook includes all necessary data, allowing immediate experimentation with pandas' powerful features.
Python developers and data analysts who are new to pandas and want to learn through practical, interactive examples with real-world data. It's also suitable for educators looking for ready-to-use teaching materials.
Developers choose this cookbook because it focuses on learning through practical examples with real-world datasets, including all the bugs and quirks that come with actual data. It offers an interactive, browser-based experience via Jupyter Lite and covers a comprehensive range of pandas operations from basic to advanced.
Overview
Recipes for using Python's pandas library
Use Cases
Best For
- Learning pandas through hands-on, interactive Jupyter notebooks with real-world datasets.
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