Shai Vaingast

Beginning Python Visualization

Crafting Visual Transformation Scripts

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Apress / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4302-1843-2
• 1st ed.
• Seitenzahl: 388
• Erscheinungstermin: 24. Februar 2009
• Englisch
• Abmessung: 235mm x 191mm x 21mm
• Gewicht: 720g
• ISBN-13: 9781430218432
• ISBN-10: 1430218436
• Artikelnr.: 25882381

Autorenporträt

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.

Inhaltsangabe

Navigating the World of Data Visualization.- The Environment.- Python for Programmers.- Data Organization.- Processing Text Files.- Graphs and Plots.- Math Games.- Science and Visualization.- Image Processing.- Advanced File Processing.