DATASCIENCE USING PYTHON: A Hands-on Approach: Volume 2

This book is a continuation of the volume-1 released 2 years ago and received quite a good response from the readers. The book covered basic and important python modules such as Pandas and NumPy in detail. In the second volume of the book, I wanted to extend the coverage to the other important modules for data scientists, data analysts, and data engineers. The volume-2 of Data Science using Python will cover the modules – SciPy, Matplotlib, Scikit Learn, ScraPy, Beautiful Soup, PyTest, Requests, and Seaborn. There will be plenty of codes and visualizations for better understanding.