Python Data Analytics

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

  • Authors
  • Fabio Nelli

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Fabio Nelli
    Pages 1-12
  3. Fabio Nelli
    Pages 13-34
  4. Fabio Nelli
    Pages 35-61
  5. Fabio Nelli
    Pages 63-101
  6. Fabio Nelli
    Pages 103-130
  7. Fabio Nelli
    Pages 131-165
  8. Fabio Nelli
    Pages 167-235
  9. Fabio Nelli
    Pages 237-264
  10. Fabio Nelli
    Pages 265-288
  11. Fabio Nelli
    Pages 311-316
  12. Fabio Nelli
    Pages 327-330
  13. Back Matter
    Pages 331-337

About this book

Introduction

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.

Bibliographic information

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