Finally, a book on creative programming, written directly for artists and designers! This second edition offers expanded and updated content incorporating the latest advancements and trends in the field of creative programming, also for creatives who want to work directly with P5.js and online. It delves deeper into the intricacies of computational art. It includes fresh case studies that explore real-world applications of coding art, inspiring readers to think beyond traditional boundaries.Rather than following a computer science curriculum, this book is aimed at creatives who are working in the intersection of design, art, and education. Following a real-world use case of computation art, you’ll 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 development makes Coding Art, Second Edition the ideal 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 ForThose looking 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; creative technologists, educators, digital artists and those who already know how to program, seeking creativity and inspiration in the context of computation and data.

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