Introduction
Part I: From Python to Pandas
1. Variables and Values
2. Times and Places
3. Lists and Arrays
4. Loops and Files
5. Dictionaries
6. Plotting
7. Dataframes and Series
Part II: Exploratory Data Analysis
8. Distributions
9. Relationships
10. Regression
Part III: Statistical Inference
11. Resampling
12. Bootstrap Sampling
13. Hypothesis Testing
Part IV: Case Study: Political Alignment
14. Political Views
15. Political Alignment and Outlook
Part V: Case Study: Algorithmic Fairness
16. Classification
17. Calibration
The chapters in red are included in this Early Access PDF.