daniel shiffman

Watch VideoComing soon to a Processing library folder near you, I’m pleased to announce a new project I’m developing at ITP with Chris Kairalla, tentatively titled “Most Pixels Ever.”
“Most Pixels Ever” (not to be confused with “Best Pixels Ever”) is an open source Java framework for spanning real-time graphics applets/applications across multiple screens. [...]

Today, my site had a slight breakdown. For whatever reason, the Google Analytics plug-in made the site disappear. If you weren’t logged in as an “author”, nothing would appear. So before I could figure out the problem, I enabled author capabilities for all my students so that they could continue to view [...]

I was just settling into a quiet evening of reviewing material for my A to Z class tomorrow when I stumbled across something quite shocking.
Mind you, I was in a fragile state, having finally released myself from a rather unhealthy personal obsession with the StringTokenizer, silently weeping (inside) while adjusting the examples to [...]

In the interest of trying to lead my life according to my recent minor obession: John Maeda’s Laws of Simplicity, I have decided to start off the Spring semester with a little bit of law 1: Reduce.
So out with http://www.shiffman.net/teaching/the-nature-of-code/
and in with http://www.shiffman.net/teaching/nature/
and out with http://www.shiffman.net/teaching/programming-from-a-to-z/
and in with http://www.shiffman.net/teaching/a2z/.
Apologies if this makes your browsing temporarily [...]

Another semester draws to an end with a terrific selection of projects at the ITP show!

There’s also a scrumptious video blog as well as a lovely Rocketboom episode.

A first pass at my Neural Networks in processing tutorial is ready for public consumption. So, before you go and consume a turkey, consume this link. And let me know if it makes any sense at all. . .? The examples are still trivial — Linear classification, Solving XOR [...]

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So after a fierce battle with my own neurons, I am ready to release part II of my Processing series: “Neural Network! Huah! What is it good for? (Sing it again, now.)”
This example implements a multi-layered neural network that learns via “back propogation.” It’s specifically trained to solve XOR. [...]

view applet and source
Long overdue, I’ve started working on a series of

An article about ITP was published yesterday in the New York Sun. Now, I’m no fan of this newspaper (see their editorials, which I couldn’t bear to read), but they do have excellent arts coverage, and they did capture ITP quite well. But did I really say this?
“Ultimately, it’s about the human [...]

watch video!Thanks to an idea from students in my icm class (see Catherine’s “greedy game-animated sprite”), I developed a Processing library that grabs values from Apple’s sudden motion sensor. The library is a JNI implementation of Unimotion by Lincoln Ramsay. It hasn’t been tested on an intel mac, so let me know if [...]