Resumen:
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 -- A. Advanced NumPy -- B. More on the IPython System.