Book Content
chapters • 14h52m total length
1. pandas and Data Science and Analysis
2. Up and running with pandas
3. Representing univariate data with the Series
4. Representing tabular and multivariate data with the DataFrame
5. Manipulation and indexing of DataFrame objects
6. Indexing Data
7. Categorical Data
8. Numeric and Statistical Methods
9. Grouping and Aggregating Data
10. Tidying Up Your Data
11. Combining, Relating and Reshaping Data
12. Data Aggregation
13. Time-Series Modelling
14. Visualization
15. Applications to Finance
