Python for Data Science (No Starch Press)

This book provides  a hands-on introduction to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and activities. Yuli Vasiliev shows how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques and looks at Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn and matplotlib.



Read more...