Update: In my eagerness to announce these workshops I made a scheduling error, incorrectly thinking the dates would be March 15+16 rather than 16+17. As a result I need to move one of the workshops to the weekend before, and since the Intro workshop should happen before the Advanced the new dates will be:
- Saturday March 9: Introduction to Processing and Generative Art
- Saturday March 16: Generative Art, Advanced Topics
Sorry for the confusion! On the plus side the Intro workshop might now be a smaller group which should make it nice and intimate.
I haven’t done any workshops in New York since November, so I have decided to offer my Intro and Advanced Generative Art workshops
back-to-back the weekend of March 16+17 on consecutive weekends, Saturday March 9 and Saturday March 17.
The venue will be my apartment in comfortable Park Slope, Brooklyn. As usual I have 8 spots available for each workshop, they do tend to reach capacity so get in touch sooner rather than later. Reservation is by email and your spot is confirmed once I receive payment via PayPal.
The workshops will be taught using the most recent Processing 2.0 beta version (2.0b8 as of this moment), and as usual I will be using my own Modelbuilder library as a toolkit for solving the tasks we look. Familiarizing yourself with Processing 2.0 and Modelbuilder would be good preparation.
Make sure to download Modelbuilder-0019 and Control-P5 2.0.4, then run through the provided examples. Check OpenProcessing.org for more Modelbuilder examples.
Note about dataviz: I know there is a lot of interest in data vizualization and I do get asked about that frequently in workshops. I can’t promise to cover data in detail since it’s a pretty big topic.
If you’re specifically looking for data techniques I would recommend looking at the excellent workshops series taught by my friend Jer Thorp. He currently offers two such workshops, titled “Processing and Data Visualization” and “Archive, Text, & Character(s)”.
I’m excited to announce a new project in a new medium: Arcs04-00 and Arcs04-01 are silkscreened prints for Random Number Multiples, a new division of Random Number curated by Christina Vassallo. The debut release will consist of two prints by Jer Thorp aka blprnt (see his Flickr set) and these two by myself, and will be for sale through Random Number on February 1st.
It might seem ironic to use silk screening as an output for code-based processes, but my reasons for pursuing this medium go beyond mere nostalgia. In my work with physical formats I am always looking trying exploit the inherent nature of the medium at hand, whether it’s CNC milling, 3D printing or inkjet. Silk screening gives a very different print quality from inkjet or 4-color offset, with much richer solid colors. In these prints I’ve explored the use of overprinting to create a graphic effect, and I’m very excited about the results.
The four prints will be released in an edition of 50 and will sell online for $100 each. Random Number Multiples will officially launch February 1st, interested readers should check out the Random Number blog post which also includes information about how to pre-order.
See also my Random Number Multiples Flickr set for more images and process documentation.
Processing visualization head Jer Thorp is putting his money where his mouth and publishing 7 pieces of code in 7 days, free to download and experiment with. Judging from the three that he’s released so far they’re not your standard 20-minute sketches either:
- GoodMorning! is a Twitter vizualization, showing users around the world popping up on a globe as they utter the magic words “good morning”. With a little geocoding and spherical mapping thrown in, this is a sweet sketch
- NY Times: 365/360 uses the New York Times open data API to retrieve news stories for an entire year and draw connections between them. The results combine complexity with elegance for that true infoporn look.
- tree.growth revisits that old classic, the L-system tree. Thorp uses colors and abstract “leaves” to great effect.
With such a strong start, one certainly looks forward to seeing the next four sketches to come. It’s not so common to find sketches of this complexity freely available, so they’re a great study for users who are on the threshold of making more complex applications.