| Beginning Python Visualization: Crafting Visual Transformation Scripts Contributor(s): Vaingast, Shai (Author) |
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ISBN: 1430218436 ISBN-13: 9781430218432 Publisher: Apress OUR PRICE: $61.74 Product Type: Paperback - Other Formats Published: February 2009 Annotation: 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! |
| Additional Information |
| BISAC Categories: - Computers | Programming Languages - Python - Computers | Software Development & Engineering - General |
| Dewey: 005.133 |
| Series: Books for Professionals by Professionals |
| Physical Information: 0.98" H x 7.02" W x 9.24" (1.29 lbs) 384 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: I was always drawn to math and computers, ever since I was a kid playing computer games on my Sinclair ZX81. When I attended university, I had a special interest in numerical ana- sis, a field that I felt combines math and computers ideally. During my career, I learned of MATLAB, widely popular for digital signal processing, numerical analysis, and feedback and control. MATLAB's strong suits include a high-level programming language, excellent gra- ing capabilities, and numerous packages from almost every imaginable engineering field. But I found that MATLAB wasn't enough. I worked with very large files and needed the ability to manipulate both text and data. So I combined Perl, AWK, and Bash scripts to write programs that automate data analysis and visualization. And along the way, I've developed practices and ideas involving the organization of data--for example, ways to ensure file names are unique and self-explanatory. With the increasing popularity of the Internet, I learned of GNU/Linux and the open source movement. I made an effort to use open source software whenever possible, and so I've learned of GNU-Octave and gnuplot, which together provide excellent scientific computing functionality. That fit well on my Linux machine: Bash scripts, Perl and AWK, GNU-Octave and gnuplot. Knowing I was interested in programming languages and open source software, a friend suggested I give Python a try. |