Book Image

Big Data Visualization

Book Image

Big Data Visualization

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (15 chapters)
Big Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

About Python


Python became available sometime during the late 1980s and bargains to be a very easy to comprehend scripting language. It shines at tasks such as integration, has all sorts of ready-made tools, and can connect to databases and other systems.

Python is also very popular in web development, though primarily on the backend side, and since Python runs interactively or in live mode, it is difficult to pack up a Python solution into a single executable file for distribution.

Furthermore, Python is not a desktop application but it is a scripting language that is designed by emphasizing code readability, and its syntax allows programmers to (perhaps) solve problems in fewer lines of code (than in languages such as C++ or Java) and without all the overhead.

The reader should note that there are various free versions of downloadable Python IDEs such as Wingware (available at www.wingware.com) that make scripting with Python very manageable (and even enjoyable!):

The bottom line? Python...