Learn to program computer simulations of natural systems
How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on the programming strategies and techniques behind computer simulations of natural systems using Processing.
About Nature of Code on Product Hunt
“Learn to program computer simulations of natural systems”
Nature of Code launched on Product Hunt on January 7th, 2017 and earned 106 upvotes and 3 comments, placing #10 on the daily leaderboard. How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on the programming strategies and techniques behind computer simulations of natural systems using Processing.
On the analytics side, Nature of Code competes within Open Source, Design Books and Books — topics that collectively have 213.5k followers on Product Hunt. The dashboard above tracks how Nature of Code performed against the three products that launched closest to it on the same day.
Who hunted Nature of Code?
Nature of Code was hunted by Matthias Esterl. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Nature of Code including community comment highlights and product details, visit the product overview.
Matthias Esterl