Ira Greenberg

eBook, PDF

Processing (eBook, PDF)

Creative Coding and Computational Art

Beschreibung

The book provides a solid foundation in basic programming, so no previous coding experience is necessary, but enough advanced techniques and artistic theory are covered for it to appeal to programmers learning art, as well as more artistic types getting into programming.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 13.28MB

Barrierefreiheit

• Text-to-Speech

Autor

Ira Greenberg directs the Center of Creative Computation and is Associate Professor with a joint appointment in the Meadows School of the Arts and Lyle School of Engineering at Southern Methodist University, Dallas TX. He is the author of Processing: Creative Coding and Computational Art and The Essential Guide to Processing for Flash Developers, both from friends of ED/Apress. Ira received his BFA from Cornell University and his MFA from the University of Pennsylvania.

Produktdetails

• Verlag: Apress
• Seitenzahl: 810
• Erscheinungstermin: 31. Dezember 2007
• Englisch
• ISBN-13: 9781430203100
• Artikelnr.: 43730428

Rezensionen

From the reviews:

"Processing is a didactic that is based on the idea that programming can be learned very easily through the creation of screen art. ... The main goal is to educate designers and artists ... . the book in combination with the programming environment also presents an excellent implementation of the concept. I recommend this work for anybody who wants to explore programming in a different way, or for a teacher who wants to get inspired for his or her own programming class." (Gerald Friedland, ACM Computing Reviews, October, 2008)

"The book is intended as an introduction to programming for designers and artists using the Processing language and environment, a language designed 'by artists for artists' and available as open source. It contains 13 chapters, and begins with a relatively gentle introduction to Processing. It continues with chapters focusing on imaging, animation, and three-dimensional (3D) graphics." (Jeffrey Putnam, ACM Computing Reviews, Vol. 49 (8), August, 2008)