Mastering pandas

Table of Contents

1. Introduction to pandas and Data Analysis
2. Installation of pandas and Supporting Software
3. Using NumPy and Data Structures with pandas
4. I/Os of Different Data Formats with pandas
5. Indexing and Selecting in pandas
6. Grouping, Merging, and Reshaping Data in pandas
7. Special Data Operations in pandas
8. Time Series and Plotting Using Matplotlib
9. Making Powerful Reports In Jupyter Using pandas
10. A Tour of Statistics with pandas and NumPy
11. A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates
12. Data Case Studies Using pandas
13. The pandas Library Architecture
14. pandas Compared with Other Tools
15. A Brief Tour of Machine Learning