Book Content
chapters • 20h52m total length
1. Pandas Foundations
2. Essential DataFrame Operations
3. Creating and Persisting DataFrames
4. Beginning Data Analysis
5. Exploratory Data Analysis
6. Selecting Subsets of Data
7. Filtering Rows
8. Index Alignment
9. Grouping for Aggregation, Filtration and Transformation
10. Restructuring Data into a Tidy Form
11. Combining Pandas Objects
12. Time Series Analysis
13. Visualization with Matplotlib, Pandas, and Seaborn
14. Debugging and Testing Pandas
