《Python数据分析》由麦金尼撰写，他是pandas库的主要作者。《Python数据分析(影印版)》也是一本具有实践性的指南，指导那些使用Python进行科学计算的数据密集型应用。它适用于刚刚开始使用Python的分析师，或者是进入科学计算领域的Python程序员。
Chapter 1. Preliminaries
Chapter 2. Python Language Basics, IPython, and Jupyter Notebooks
Chapter 3. Built-in Data Structures, Functions, and Files
Chapter 4. NumPy Basics: Arrays and Vectorized Computation
Chapter 5. Getting Started with pandas
Chapter 6. Data Loading, Storage, and File Formats
Chapter 7. Data Cleaning and Preparation
Chapter 8. Data Wrangling: Join, Combine, and Reshape
Chapter 9. Plotting and Visualization
Chapter 10. Data Aggregation and Group Operations
Chapter 11. Time Series
Chapter 12. Advanced pandas
Chapter 13. Introduction to Modeling Libraries in Python
Chapter 14. Data Analysis Examples
Appendix A. Advanced NumPy
Appendix B. More on the IPython System
