Subtitled "A comprehensive guide to using Python for data analysis", this book sets out to teach the fundamentals of data science with Python by analyzing real datasets and solving problems using pandas.  Blaine Bateman, Saikat Basak, Thomas V. Joseph and William So show how to be more productive with data and generate real business insights to inform your decision-making.

This workshop is designed to show how to write clean code and build understanding through hands-on practice.

Author: Blaine Bateman, Saikat Basak, Thomas V. Joseph and William So
Publisher: Packt Publishing
Date: June 2022
Pages: 744
ISBN: 978-1800208933
Print: 1800208936
Kindle: B09ZPDDK2H
Audience: Python developers interested in data analysis
Level: Intermediate
Category: Python

• Access and load data from different sources using pandas
• Work with a range of data types and structures to understand your data
• Perform data transformation to prepare it for analysis
• Use Matplotlib for data visualization to create a variety of plots
• Create data models to find relationships and test hypotheses
• Manipulate time-series data to perform date-time calculations
• Optimize your code to ensure more efficient business data analysis

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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