First Python Notebook

A step-by-step guide to analyzing data with Python and the Jupyter Notebook.

What you will learn

This textbook will guide you through an investigation of money in politics using data from the California Civic Data Coalition.

You will learn just enough of the Python computer programming language to work with the pandas library, a popular open-source tool for analyzing data. The course will teach you how to use pandas to read, filter, join, group, aggregate and rank structured data.

You will also learn how to record, remix and republish your analysis using the Jupyter Notebook, a browser-based application for writing code that is emerging as the standard for sharing reproducible research in the sciences.

Who can take it

This course is free. If you’ve tried Python once or twice, have good attitude and know how to take a few code crashes in stride, you are qualified. But before you begin be sure to review the prerequisites.

Table of Contents

• Prologue: Prerequisites
• Chapter 1: Hello virtualenv
• Chapter 2: Hello Jupyter
• Chapter 3: Hello pandas
• Chapter 4: Hello money in politics
• Chapter 5: Hello data
• Chapter 6: Hello columns
• Chapter 7: Hello filters
• Chapter 8: Hello merge
• Chapter 9: Hello totals
• Chapter 10: Hello sorting
• Chapter 11: Hello groupby
• Chapter 12: Hello git
• Chapter 13: Hello Markdown
• Chapter 14: Hello GitHub
• Chapter 15: Hello charts
• Chapter 16: Hello cleaning
• About the author