The little book of pandas & matplotlib

A practical guide on getting started

Get started with data science in Python

Get started with data science in Python quickly with the little book of pandas & matplotlib.

The short chapters introduce you to the key concepts that you need to manipulate and transform your data, query it to get answers to the questions you have, and create plots that convey your findings in a clear way.

This book is perfect for you if you want to get an overview of the multiple tools, ideas, and concepts, that pandas and matplotlib have to offer and that you can learn and master.

Write clear, maintainable pandas code

You will learn how to write pandas code that is readable, easy to maintain, and extendable. Notice how the code shown flows from top to bottom.

This style of pandas code makes your data transformation pipeline easy to understand, maintain, modify, and extend.


Create lean plots

Learn how to create lean plots that present the insights you get from your data in a clear way.

You will also learn to customise your publication-ready plots with styling options that make your data and its relationships stand out.

Easy to follow: short, easy-to-read chapters designed for quick learning.

Practical examples: hands-on examples to practice and solidify your skills.

Beginner-friendly: perfect for beginners with no pandas / matplotlib experience.

Time-saving: learn key concepts quickly and efficiently.

Employable skills: build professional data science skills.

Updates & fixes: the book is always being revised, updated, and improved.