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Generative Art [Anglais] [Broché]

Matt Pearson

Prix : EUR 19,73 LIVRAISON GRATUITE En savoir plus.
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Descriptions du produit

Présentation de l'éditeur

DESCRIPTION
Artists have always explored new media, and computer-based artists
are no exception. Generative art, an emerging technique where print or
onscreen images are created by use of computer algorithms, finds the
artistic intersection between programming, computer graphics, and
individual expression.
Generative Art presents both the technique and the beauty of
algorithmic art. In it, you'll find dozens of high-quality examples of
generative art, along with the specific programmatic steps author and
artist Matt Pearson followed to create each unique piece. The book
includes concise tutorials for each of the technical components
required to create the book's examples, and it offers countless
suggestions for how you can combine and reuse the various techniques
to create your own works.


KEY POINTS
• Introduction to the principles of algorithmic art
• Brief Processing language tutorial
• Establishing artistic "ground rules" for a new work
• Using random, semi-random, emergent and fractal processes
• Finding fresh approaches to the discipline of programming
• Sixteen-page full-color section of beautiful artwork

Biographie de l'auteur

Matt Pearson is a writer and coder based in Brighton UK. His popular blog http://zenbullets.com/ recently won "best blog" at the DiMAS awards. Matt is also the creative force behind the 100 Abandoned Artworks Generative Art project http://abandonedart.org/, where you can see many examples of his work.

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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Il n'y a pas encore de commentaires clients sur Amazon.fr
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Amazon.com: 4.5 étoiles sur 5  17 commentaires
11 internautes sur 11 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Quite impressive 28 septembre 2011
Par Joshua J. Noble - Publié sur Amazon.com
Format:Broché
Yes, this book is a good overview of the major themes in generative art and an excellent intro for techniques to generative art-making and Processing in general. More importantly though, it's also filled with insights into the why's and how's of Mr. Pearsons own work and that of the work that he's writing about, which is just as important; understanding not just what a pretty graphic is, but what it models, how it relates to the world. I find this lacking in a lot of texts about generative art or computer art and it's one of the fundamental elements of understanding and creating your own generative artwork, the correlations between what we see on the screen and what we see in around and beyond it. Mr. Pearson not only codes well and makes pretty things but also thinks and writes quite clearly, and he puts all those skills to use here to tell a story of curiosity and its dividends.
7 internautes sur 8 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Great introduction to Processing, Genart 28 juillet 2011
Par N. Peyton - Publié sur Amazon.com
Format:Broché|Achat authentifié par Amazon
I've read most of the books available on Processing, and Pearson's is unique in that it thoroughly covers the philosophical side of Genart, namely the struggle between chaos and order. Fantastic.
6 internautes sur 7 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 A great resource and reference for any experience level 14 juillet 2011
Par Robert O'Rourke - Publié sur Amazon.com
Format:Broché
Buy this book if you are looking for something in between a coding manual, reference book, discussion of and a history of Generative Art. Matt has hit upon a good balance for those who find a pure programming book makes their eyes glaze over and want to understand the why aswell as the how. The book is structured so that the introduction is gradual without getting too heavy on the coding side of things for too long. After that the book deepens your understanding and teaches you some of the more complex and beautiful algorithms used in GenArt. Not only is it an informative an interesting read in its own right it is also a useful reference to come back to again and again.
3 internautes sur 3 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Fun book if you want to let down your hair programming 1 février 2013
Par R. Levy - Publié sur Amazon.com
Format:Broché|Achat authentifié par Amazon
I am a professional developer and I enjoy writing code, but at times the strict requirements, testing and strive for order and perfection can take some of the joy from creating something new. This book is great if you just want to play with code and see what happens when you embrace the weird side-effects that happen because of randomness, noise etc...

I suspect that this book is a great way to get people who are afraid of coding into playing with computers and writing software - and it is enjoyable if you just want to learn new techniques for drawing abstract art with code.

The book uses Processing which is not my favorite environment, but the concepts are simple enough and the writing is clear - and it was a non-issue to follow along in Javascript.
4 internautes sur 5 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 A travel guide for generative art 4 août 2011
Par Frederik Vanhoutte - Publié sur Amazon.com
Format:Broché
"generative art" is a highly personal account of one artist's path to creative coding, a travel guide for a huge, and increasingly trendy, territory. And like any good travel guide, it is not intended to be a rigorous, exhaustive overview. So don't expect a tedious overview of all things generative, or an elaborate programming manual of its language of choice, Processing. Matt shares with us the basics needed to survive and points out the major landmarks.
Aspiring artists and experienced coders alike will find valuable insights and new paths. Matt's refreshing approach, the book serves as a behind-the-screens look at the author's open source "100 Abandoned Artworks" project, makes for easy reading, quite unusual for a digital design/programming handbook.

Ultimately all exploring will have to be done by the reader/artist/coder. But I'll gladly take Matt Pearson's Bryson-like wit and accessible explanations as my faithful companions on further journeys.
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