| Chapter | Topic |
|---|---|
| 1 | Preliminaries |
| 2 | Python Language Basics, IPython, and Jupyter Notebooks |
| 3 | Built-in Data Structures, Functions, and Files |
| 4 | NumPy Basics: Arrays and Vectorized Computation |
| 5 | Getting Started with pandas |
| 6 | Data Loading, Storage, and File Formats |
| 7 | Data Cleaning and Preparation |
| 8 | Data Wrangling: Join, Combine, and Reshape |
| 9 | Plotting and Visualization |
| 10 | Data Aggregation and Group Operations |
| 11 | Time Series |
| 12 | Advanced pandas |
| 13 | Introduction to Modeling Libraries in Python |
| 14 | Data Analysis Examples |