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paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Aggiungi al carrellopaperback. Condizione: Very Good. Thank you for your purchase. Your order will be carefully packed and shipped promptly. If you have any questions, please contact us through AbeBooks. We appreciate your business.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 44,29
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Paperback or Softback. Condizione: New. Beginning Python Visualization: Crafting Visual Transformation Scripts. Book.
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paperback. Condizione: New. In shrink wrap. Looks like an interesting title!
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 363 pages. 9.00x6.75x1.00 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Beginning Python Visualization | Crafting Visual Transformation Scripts | Shai Vaingast | Taschenbuch | 384 S. | Englisch | 2009 | Apress | EAN 9781430218432 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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EUR 115,90
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Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2009
ISBN 10: 1430218436 ISBN 13: 9781430218432
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EUR 58,95
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 69,16
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 70,37
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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, Second Edition discusses turning many types of data sources, big and small, into useful visual data. And, you will learn Python as part of the bargain.In this second edition you'll learn about Spyder, which is a Python IDE with MATLAB® -like features. Here and throughout the book, you'll get detailed exposure to the growing IPython project for interactive visualization. In addition, you'll learn about the changes in NumPy and Scipy that have occurred since the first edition. Along the way, you'll get many pointers and a few visual examples. As part of this update, you'll learn about matplotlib in detail; this includes creating 3D graphs and using the basemap package that allowsyou to render geographical maps. Finally, you'll learn about image processing, annotating, and filtering, as well as how to make movies using Python. This includes learning how to edit/open video files and how to create your own movie, all with Python scripts. Today's big data and computational scientists, financial analysts/engineers and web developers - like you - will find this updated book very relevant.