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Generative Art: A Practical Guide Using Processing Paperback – 14 July 2011

4.4 4.4 out of 5 stars 104 ratings

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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

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About the Author

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 , where you can see many examples of his work.

Product details

  • Publisher ‏ : ‎ Manning Publications; 1st edition (14 July 2011)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 300 pages
  • ISBN-10 ‏ : ‎ 1935182625
  • ISBN-13 ‏ : ‎ 978-1935182627
  • Dimensions ‏ : ‎ 20.32 x 1.78 x 20.32 cm
  • Customer reviews:
    4.4 4.4 out of 5 stars 104 ratings

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Customer reviews

4.4 out of 5 stars
104 global ratings

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Top reviews from United Kingdom

  • Reviewed in the United Kingdom on 6 January 2023
    This is an excellent companion to the Processing language, with plenty of code examples. Thankfully, it is not a dry programming reference manual for Processing/Java. It is thoughtfully written and introduces topics such as 3D, noise objects and recursion without getting bogged down in too much detail. It’s even humorous in places, I particularly like the idea that The Smiths and Echo and the Bunnymen are instances of class 80s English Indie Band!

    A very useful feature of the book is owning the physical book gives access to the online edition, which allows you to read the book side by side with a Processing sketch, cutting and pasting code directly into a sketch window.

    The book is over 10 years old and could do with a new edition. Not all the URLs work and I’m sure there are more recent art works that could now be listed.

    But still a very good book.
    2 people found this helpful
    Report
  • Reviewed in the United Kingdom on 27 May 2013
    The author is well respected both by myself and many across the world.

    This book delves into the theory behind generative art and is full of examples and code and lovely images too.

    Its the generative art handbook for processing - an essential guide to those who want to explore creativity with code
    One person found this helpful
    Report
  • Reviewed in the United Kingdom on 16 July 2020
    The book was perfect but came damaged so slightly disappointed
  • Reviewed in the United Kingdom on 29 December 2012
    Pearson has put together a well structure introduction and tutorial guide into generative computational techniques. On par with Shiffman's books.
  • Reviewed in the United Kingdom on 13 February 2015
    Top!
  • Reviewed in the United Kingdom on 15 August 2014
    Excellent
  • Reviewed in the United Kingdom on 13 July 2011
    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.
    6 people found this helpful
    Report
  • Reviewed in the United Kingdom on 1 January 2021
    This is an introduction to producing generative art using the Processing language. Processing was invented to be an “easy” language for artists to learn. In its original form, it is based on a stripped down version of Java. (There is also a Python Mode available on the web.)

    The book has an introduction to generative art, and introduction to Processing (Java Mode), and three example sections on its use for art: emergent swarming behaviour, cellular automata, and fractals. There are lots of good examples to copy and modify, and also lots of pictures of somewhat more sophisticated examples of generative art.

    Note for publishers: don’t typeset your books in a minuscule typeface, grey text on white, with paper so thin that the text shows through, if you want anyone over the age of 25 to read it comfortably. I frankly skimmed in places. Nevertheless, this book should provide a good introduction to Processing for artists, providing basic skill that can then be incrementally upgraded as time goes by.

Top reviews from other countries

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  • TheGrego
    5.0 out of 5 stars Great GenArt Book for Noobs and Not-So-Noobs
    Reviewed in the United States on 5 October 2011
    As someone that was not completely new to processing, but wanted to get more into generative art, this book was perfect.

    He goes over some basic concepts in a not too detailed, but detailed enough way to get you up and running. I don't think this book was meant to be a comprehensive guide to processing, but more to expose you to techniques and concepts within the world of generative art. And that it did. It's sparked many ideas that I now have and can't wait to explore. I'm confident that the concepts that I learned in this book will be transferable to whichever creative coding programming environment I choose to explore next, be it flash, cinder, javascript/HTML5/canvas, etc.

    Thanks Matt.
  • G. R.
    5.0 out of 5 stars Grandios!
    Reviewed in Germany on 21 September 2011
    Ich war dem Buch anfangs etwas kritisch gegenübergestellt, vor allem weil ich nicht genau wusste, was ich erwarten sollte. Nur Code-Snippets, nur Mathematik, einen Lehrpfad zum Künstler?
    Schon auf den ersten Seiten erklärt der Author, dass es bei dem Buch nicht ums Programmieren geht, oder um jemanden zum Künstler auszubilden.
    Mittels kleinen Codesnipptes gibt er Denkanstöße, um selbst kreativ zu werden. Toller Aufbau, sehr gut gewählte Inhalte (Processing, Flocking, Randomness etc.)

    Am besten hat mir das Kapitel gefallen, in dem er häufige Fehler aufzeigt.

    Tolles Buch, 5 Sterne, und auch für alle geeignet, die noch nie etwas mit Processing oder "Generative Art" zu tun hatten!
    Report
  • Client d'Amazon
    5.0 out of 5 stars hello from sofia
    Reviewed in France on 15 September 2016
    Great art references and easy to read. I also appreciate a lot the sense of humour. A good choice for beginners.
  • XAVISA
    5.0 out of 5 stars Buen libro para iniciarse
    Reviewed in Spain on 6 July 2015
    El libro es de lectura ágil; explica aspectos básicos de la programación con Processing y del arte generativo
    Se avanza con programas cortos de fácil comprensión, perfecto para iniciarse
    Bien editado
  • Luigi Fontana
    5.0 out of 5 stars Ottimo testo base.
    Reviewed in Italy on 15 October 2022
    Ottimo testo per capire Processing. Forse un po' "didattico" e monotono, ma questi difetti vengono ampiamente compensati dalla facilita dell'apprendimento delle logiche del linguaggio.
    Se partite da zero è il testo che fa per voi.