Main

This book is a practical, modern introduction to data science tools in Python:

1. Jupyter Notebook

2. Numpy

3. Pandas

4.use flexible tools to load, clean, transform, merge and reshape data

5.create informative visualizations with matplotlib (or Tab, SAS..)

6. analyze and manipulate regular and irregular time series data

7. learn how to solve real-world data analysis problems with thorough, detailed examples