Over a decade ago, I self-published The Nature of Code, an online resource and print book exploring the unpredictable evolutionary and emergent properties of nature in software via the creative coding framework Processing. It’s the understatement of the century to say that much has changed in the world of technology and creative media since then, and so here I am again, with a new and rebooted version of this book built around JavaScript and the p5.js library. The book has a few new coding tricks this time, but it’s the same old nature—birds still flap their wings, and apples still fall on our heads.
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| A collection of charts and graphs made with the R programming language
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Within our collection, we cover every chart type imaginable to ensure we fullfil your data visualization needs. To streamline the process of finding your required chart, we meticulously classified all the examples under their respective chart types.
For each chart type, we kick off with a foundational tutorial that introduces its basic structure and utility. After mastering the basics, users can delve into our step-by-step guides on the most elementary customizations, ensuring your chart not only presents data but does so with an individual touch that caters to your specific requirements.
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Segmentation — identifying which image pixels belong to an object — is a core task in computer vision and is used in a broad array of applications, from analyzing scientific imagery to editing photos. But creating an accurate segmentation model for specific tasks typically requires highly specialized work by technical experts with access to AI training infrastructure and large volumes of carefully annotated in-domain data.
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