Coding Art : The Four Steps to Creative Programming with the Processing Language

Finally, a book on creative programming, written directly for artists and designers! Rather than following a computer science curriculum, this book is aimed at creatives who are working in the intersection of design, art, and education. In this book you'll learn to apply computation into the creative process by following a four-step process, and through this, land in the cross section of coding and art, with a focus on practical examples and relevant work structures. You'll follow a real-world use case of computation art and see how it relates back to the four key pillars, and addresses potential pitfalls and challenges in the creative process. All code examples are presented in a fully integrated Processing example library, making it easy for readers to get started.This unique and finely balanced approach between skill acquisition and the creative process and development makes Coding Art a functional reference book for both creative programming and the creative process for professors and students alike.What You'll LearnReview ideas and approaches from creative programming to different professional domainsWork with computational tools like the Processing languageUnderstand the skills needed to move from static elements to animation to interactionUse interactivity as input to bring creative concepts closer to refinement and depthSimplify and extend the design of aesthetics, rhythms, and smoothness with data structuresLeverage the diversity of art code on other platforms like the web or mobile applicationsUnderstand the end-to-end process of computation art through real world use casesStudy best practices, common pitfalls, and challenges of the creative processWho This Book Is ForThoselooking to see what computation and data can do for their creative expression; learners who want to integrate computation and data into their practices in different perspectives; and those who already know how to program, seeking creativity and inspiration in the context of computation and data.