Beginning Python Visualization
Crafting Visual Transformation Scripts
(Sprache: Englisch)
Data visualization is one of the sleeping giants of computer book publishing. This book teaches data visualization without academic or theoretical baggage. It is a practical book aimed at IT personnel, programmers, engineers, economists and hobbyists.
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Data visualization is one of the sleeping giants of computer book publishing. This book teaches data visualization without academic or theoretical baggage. It is a practical book aimed at IT personnel, programmers, engineers, economists and hobbyists.
Klappentext zu „Beginning Python Visualization “
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.
Inhaltsverzeichnis zu „Beginning Python Visualization “
1. Navigating the World of Data Visualization2. The environment
3. Data organization
4. Python for Programmers
5. Processing Text Files
6. Numerical Analysis: what to do before we start displaying data
7. Graphs and plots
8. Image Processing
9. Advanced File Processing
Autoren-Porträt von Shai Vaingast
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.
Bibliographische Angaben
- Autor: Shai Vaingast
- 2009, 1st ed., 384 Seiten, Maße: 19,1 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1430218436
- ISBN-13: 9781430218432
Sprache:
Englisch
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