pyconar-talk VS awesome-creative-coding

Start by copying some existing example code and running it locally, then edit it and see what changes. Comment pieces out, look at the results. Change magic numbers to understand the effect. It probably has some calls to a random number generator in it; add more calls to the random number generator.

There are lots of examples bundled with Proce55ing, on Shadertoy, on bl.ocks.org, on ObservableHQ, on Jared Tarbell's website, in the Coding Train vlog, etc. My own repo of examples using Python and PyGame is at https://github.com/kragen/pyconar-talk, but I've also done examples like http://canonical.org/~kragen/sw/dev3/tweetfract.html with (you have to click on the invisible to see it) and http://canonical.org/~kragen/sw/dev3/plotiir.html. Start with small things.

There's probably some kind of awesome example repo out there for deepdream ANN stuff but I don't know what to recommend.

But that's just where to start. Once you're doing stuff you'll want to understand what you're doing and learn about more techniques (algorithmic, software design, and interfaces to libraries and devices) so you can expand your range. There's lots of resources out there (Tarbell in particular has given an hour lecture you can find on YouTube about what techniques he finds useful) but I can suggest:

∙ Many instances of the same thing that differ by incrementing a variable. For example, you can create 64 particles that move from point A to point B at successive points in time 30 milliseconds apart, or at the same point in time at 64 different velocities, or 64 Bezier curves from point A to point B that start at 64 angles evenly spaced around a circle.

∙ Adding randomness to things. Adding randomness to pixel colors gives you "graininess"; adding randomness to object positions gives you spatial dispersion or, if the randomness varies over time, jittering; adding randomness to the angles of different objects gives you visual variety.

(to be continued)

Awesome Creative Coding

As far as I can tell from the Twitter thread, he made a few prototypes. These Tweets made me enter a rabbit hole on the topic of creative coding, there are A TON of very cool tools out there. Here is a list: https://github.com/terkelg/awesome-creative-coding. You could use these frameworks to build a data visualization tool from the ground up. There are also many pre-built data visualization frameworks, but I doubt there's one that can visualize data exactly in the way shown in the Tweets. Here are some libraries (special focus on PKMS): https://github.com/terkelg/awesome-creative-coding. This GitHub repo is also an excellent source of other PKMS tools.

This repo on GitHub is a really great starting point: https://github.com/terkelg/awesome-creative-coding

The source code is visible on-chain - it can be queried from the smart contract, but also it has been etched into the data of the “script upload” transaction. This is how ArtBlocks and other projects can fetch the script and display it. But that doesn’t mean the code is open source! Just like scripts on a website (which are also easy to see), the author decides on how to license the work.

I often suggest GenerativeArtistry as a simple starting point if you already know a bit of JavaScript and want to understand how it works on a basic level[1]. Tyler Hobbs' blog (OP link) also has some great essays on generative art[2], as with the blog of Anders Hoff[3], and also lots of other resources in awesome-creative-coding repo[4].

[1] - https://generativeartistry.com/

[2] - https://tylerxhobbs.com/essays

[3] - https://inconvergent.net/#writing

[4] - https://github.com/terkelg/awesome-creative-coding