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 talks about turning many types of small data sources into useful visual data. And you will learn Python as part of the bargain.
What you'll learn
- Write ten lines of code and present visual information instead of data soup.
- Set up an open source environment ready for data visualization.
- Forget Excel: use Python.
- Learn numerical and textual processing.
- Draw graphs and plots based on textual and numerical data.
- Learn how to deal with images.
Who is this book for?
IT personnel, programmers, engineers, and hobbyists interested in acquiring and displaying data from the Web, sensors, economic trends, and even astronomical sources.
About the Apress Beginning Series
The Beginning series from Apress is the right choice to get the information you need to land that crucial entry–level job. These books will teach you a standard and important technology from the ground up because they are explicitly designed to take you from "novice to professional." You'll start your journey by seeing what you need to know—but without needless theory and filler. You'll build your skill set by learning how to put together real–world projects step by step. So whether your goal is your next career challenge or a new learning opportunity, the Beginning series from Apress will take you there—it is your trusted guide through unfamiliar territory!
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 has a patent and also several patents pending.
Book Details
- Paperback: 384 pages
- Publisher: Apress; 1 edition (February 24, 2009)
- Language: English
- ISBN-10: 1430218436
- ISBN-13: 978-1430218432
- File Size: 7.8 MiB
- Hits: 1,511 times
