Beginning Python Visualization: Crafting Visual Transformation Scripts 2nd ed. Edition

by Shai Vaingast (Author)

8 ratings

ISBN-13: 978-1484200537

ISBN-10: 1484200535

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We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of data sources, big and small, into useful visual data. And, you will learn Python as part of the bargain.

In this second edition you’ll learn about Spyder, which is a Python IDE with MATLAB® -like features. Here and throughout the book, you’ll get detailed exposure to the growing IPython project for interactive visualization. In addition, you'll learn about the changes in NumPy and Scipy that have occurred since the first edition. Along the way, you'll get many pointers and a few visual examples.

As part of this update, you’ll learn about matplotlib in detail; this includes creating 3D graphs and using the basemap package that allows you to render geographical maps. Finally, you'll learn about image processing, annotating, and filtering, as well as how to make movies using Python. This includes learning how to edit/open video files and how to create your own movie, all with Python scripts.

Today's big data and computational scientists, financial analysts/engineers and web developers – like you - will find this updated book very relevant.

About the Author

Shai Vaingast has been an engineer, an engineering manager, and a director of engineering since 1993. He has worked in the defense industry and in medical engineering, while being heavily involved with data visualization. He holds a patent and has several others pending.

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Product details

Publisher ‏ : ‎ Apress; 2nd ed. edition (August 16, 2014)
Language ‏ : ‎ English
Paperback ‏ : ‎ 437 pages
ISBN-10 ‏ : ‎ 1484200535
ISBN-13 ‏ : ‎ 978-1484200537
Item Weight ‏ : ‎ 17.01 pounds
Dimensions ‏ : ‎ 7.5 x 0.94 x 9.25 inches

Best Sellers Rank: #3,545,582 in Books (See Top 100 in Books)
- #3,001 in Software Design & Engineering
- #3,683 in Python Programming
- #6,535 in Software Development (Books)

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Omphaloskepsis

Good Book

Reviewed in the United States on December 28, 2014

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If your an absolute beginner to python, this is an excellent book since it teaches basic python along with the visualization.If you already program in Python numpy, matplot.lib etc . you most likely already know the content being discussed.

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3 people found this helpful

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Daphna Levi

I want to get visual

Reviewed in the United States on September 5, 2014

This is not a run-of-the-mill computer science textbook. It is neither a cookbook of algorithms or code-snippets to use as a reference when building your own visualizations. Rather, it is a mentor to the professional (scientist, engineer etc'), student (even high school!) or amateur wishing to improve their productivity and upgrade their end-products. Its primary audience is a professional whose bread and butter is data generation and analysis (physics, biology, medicine, economics,...) through custom programs and graphs. Experience tells us that this individual will have developed through their career an eclectic toolkit of scripts, macros and procedures (some even manual - ugh!) to get their work done. This book is the perfect eye-opener. It is a methodical, step-by-step guide to unleash the power of python for your own needs. Topics covered are not only the obvious collection of 2D and 3D graphs (scatter, line, pie, logarithmic etc') but also "peripherals" which are typically neglected such as proper data organization (who can find last week's data? it's probably useless anyway!) and version control (if you have "program_V6", "program_V6_new" and "program_v6_new_new" on your disk - you definitely need it!). The author gently shows you simple, efficient ways to discard your bad habits and quickly upgrade your work.
Readers who are familiar with object-oriented-programming but have not yet stumbled onto Python, will find themselves at home and discover how easy it is to generate mathematical or scientific code and prepare publication-quality graphs. Moreover, in a surprisingly short time this book will have them hooked! For readers with no computing experience, this book opens the doors to programming - from the basics (how do I set up the environment? what is a loop?) to objects - all in a clear and fun way. Moreover, even novices will obtain high-quality results very quickly. Furthermore, the code is elegant and with good CS practice (structures, comments, etc') so that bad-habits will not be learned. The fact that the book is based on open-source software is an added bonus, since it allows anyone with a computer to start "visualizing" (and potentially delve into serious number crunching) without further investment - ideal for students and people who rely on commercial software in their workplace but want something available at home. For me, this book is a perfect match.

Helpful

alex elberg

Amazing book. It's both simple and elegant, and most important of all - extremely useful!

Reviewed in the United States on September 1, 2014

This is an amazing book!
Since the only thing I was taught at college was Matlab, I didn't know anything else. Until one day, I was searching the web for an easy way to solve one of my everyday problems and stumbled upon a forum post that suggested I use Python to instantly solve it.
So I gave it a try... to my great surprise, I immediately fell in love with this language.
After playing around for a while, I decided that I wanted to learn Python and use it instead of Matlab for my everyday work.
I started searching for a good Python book that was intended for engineers and focused on data visualization – this book did the trick!
If you're looking for a book that will guide you step by step and help you solve practical problems – search no more!
I can confidently say that this book changed my life (at least my coding life).
Thank you so much Mr. Vaingast!

3 people found this helpful

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Ami Saguy

The book has three great features. The first

Reviewed in the United States on September 6, 2014

The book has three great features. The first, is that you learn python and relevant toolboxes. The second is that you are rewarded with many practical, useful examples and tools that are relevant to day-to-day engineering work that deal with vast amounts of data. The third, is that you reap the benefit of the authors years of experience in the form of tips, techniques and how-tos.
I have circulated the book with my colleagues at work. With no exception, each one was struck with the beauty of python and each one was up and running working with python within days of starting to read the book. The book has become a legend at work. The benefits from reading the book were amazing!

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Beginning Python Visualization: Crafting Visual Transformation Scripts 2nd ed. Edition

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Shai Vaingast

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