Pro Python Data Analytics is designed to help you tackle the world of data acquisition and analysis using the power of the Python language.
Author Greg Walters expertly shows the strength of the Python programming language when applied to processing, management and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics.
This book attempts to take a look at how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language.
Provides examples of storing and accessing data in a database.
Walks the reader through the process of report generation.
Provides real world examples.
What you'll learnConcepts of dealing with raw dataDealing with XML dataJoining database tables for efficient data setsReporting dataGraphing dataWriting support tools for understanding diverse dataWho this book is for
Pro Python Data Analytics is for the mid to experienced level programmer who already knows the basics of Python programming. It is for programmers who want to know how to use databases and reporting tools to manipulate raw data into coherent information. "
Gregory Walters was born in Hamilton, Ontario. When he was thirteen, his family moved to Texas. He began his teaching career in Dallas, earned a law degree in Los Angeles and eventually settled in British Columbia where he's worked as a teacher and principal. Currently writing full-time, Gregory spends his free time running, cycling, hiking, travelling, snapping photos and, of course, reading.