Beginning Python Visualization: Crafting Visual Transformation Scripts (Books for Professionals by Professionals)
| Author | : | |
| Rating | : | 4.67 (654 Votes) |
| Asin | : | 1430218436 |
| Format Type | : | paperback |
| Number of Pages | : | 384 Pages |
| Publish Date | : | 2017-08-08 |
| Language | : | English |
DESCRIPTION:
Ronald D. Stephens said An Excellent Book. Sometimes a picture is worth a thousand words. "Beginning Python Visualization: Creating Visual Transformation Scripts", published in February "An Excellent Book" according to Ronald D. Stephens. Sometimes a picture is worth a thousand words. "Beginning Python Visualization: Creating Visual Transformation Scripts", published in February 2009 by Apress, shows how Python and its related tools can be used to easily and effectively turn raw data into visual representations that communicate effectively. The author is Shai Vaingast, a professional engineer and engineering manager who needed to train scientists an. 009 by Apress, shows how Python and its related tools can be used to easily and effectively turn raw data into visual representations that communicate effectively. The author is Shai Vaingast, a professional engineer and engineering manager who needed to train scientists an. Christopher Bevis said Very Disappointing. I was really excited to find this book, but was very disappointed when I got it. Most of the book is random trivia about Python - I don't consider parsing CSV files or displaying the Hebrew alphabet very relevant to visualization. If you need to learn Python, there are much better books for that. When this book finally does get to visualization, it only covers *extremely* basic "Very Disappointing" according to Christopher Bevis. I was really excited to find this book, but was very disappointed when I got it. Most of the book is random trivia about Python - I don't consider parsing CSV files or displaying the Hebrew alphabet very relevant to visualization. If you need to learn Python, there are much better books for that. When this book finally does get to visualization, it only covers *extremely* basic 2d plotting and what they call image . d plotting and what they call image . Bernard VdS said Short on visualization - but great book nonetheless. After spending many years coding with a variety of languages/tools (C#/VB.Net,VBA, Matlab, various numerical libraries), I picked-up Python and am blown away with its versatility. Clean and minimal syntax, no bloated API, and an amazing array of open-source modules. Libraries such as Numpy,Scipy, Matplotlib, Pylab, Python(x,y) means I can ditch Matlab and keep all the functionality I need.This book is a great intro
Learn how to deal with images. What you’ll learnWrite ten lines of code and present visual information instead of data soup. 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. And, you will learn Python as part of the bargain. Who this book is for IT personnel, programmers, engineers, and hobbyists interested in acquiring and displaying data from the Web, sensors, economic trends, and even astronomical sources.. Forget Excel: use Python. We are visual animals. Learn numerical and textual processing. Draw graphs and plots based on textual and numerical data. Beginning Python Visualization: Crafting Visual Transformation Scripts discusses turning many types of small data sources into useful visual data. Set up an open source environment ready for data visualization
. He holds a patent and has several others pending. He has worked in the defense industry and in medical engineering, while being heavily involved with data visualization. About the AuthorShai Vaingast has been an engineer, an engineering manager, and a director of engineering since 1993
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.