Python for data science : a hands-on introduction / Yuli Vasiliev

Includes index.

The basics of data -- Python data science libraries -- Accessing data from files and APIs -- Working with databases -- Aggregating data -- Combining data sets -- Creating visualizations -- Analyzing location data -- Analyzing time series data -- Gaining insight from data -- Machine learning for data analysis.

Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.