Python Data Analytics: Data Analysis and Science Using Pandas, matplotlib, and the Python Programming Language

_Python Data Analytics_ will help you tackle the world of data acquisition and

analysis using the power of the Python language. At the heart of this book

lies the coverage of pandas, an open source, BSD-licensed library providing

high-performance, easy-to-use data structures and data analysis tools for the

Python programming language.

Author Fabio Nelli expertly shows the strength of the Python programming

language when applied to processing, managing 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. This book examines how to go about obtaining,

processing, storing, managing and analyzing data using the Python programming

language.

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 is an invaluable reference with its examples of storing and

accessing data in a database; it walks you through the process of report

generation; it provides three real world case studies or examples that you can

take with you for your everyday analysis needs.