Oh geez, I hardly slept last night. Jet lag is kicking my ass. Still, I absorbed some stuff from this morning.
Python 3 was a big theme this year. Numpy is weeks away from working well with 3.x, and scipy is next. Cython is also trying to make the move.
Something I liked: Cython can rock generator expressions now.
A lot is going on in the iPython world. According to Fernando Perez, they spent a lot of time refactoring and componentizing the codebase. They are also looking to incorporate ZeroMQ, and seem pretty excited about it.
Github! Perez directly addressed the move of ipython’s source control from bzr/launchpad to git and github. They were even able to transfer their “issues” to github, which is pretty rad. There are also murmurs regarding moving numpy/scipy to github as well. There’s a meeting on switching to git tonight. I’m crossing my fingers, because I adore github.
EPD’s numpy version can make use of MKL, if you’re into that sort of thing.
ETS is starting to rock QT4, as an alternative to WX. Cool, cool.
You may know him as the creator of SWIG, but what they don’t tell you is that he’s REALLY FUNNY. Here are some quotes from his talk, paraphrased:
- Sure, I could write everything in C++
- And I could also poke myself in the eye
” Back when I worked at Los Alamos, we had two enemies: The soviets, and Lawrence Livermore National Laboratory. ”
“Please don’t reimplement CORBA … or SOAP … or any other overengineered solution that makes you want to quit programming and join a band. …I already did that once.”
His talk was on concurrency, and in particular on the attitudes that programmers have towards it. He called it, “DIY Concurrency.” Unfortunately I don’t think I could really explain where he was coming from with any justice, but his talk reminded me of my impression of ZeroMQ, in that ZMQ is less a fully-fledged solution to message-passing and more of a framework for “rolling your own.”
Some technologies he talked about though, which made for Pretty Awesome Demos:
Now that’s a myaverick!
Something Brian Granger talked about the other day was the “magic button” approach with regards to speeding up code. While in many cases this is a pipe dream, I think Theano is part-way successful when it comes to its domain.
I think you can get most of the talk’s content from Theano’s website, but it was still pretty cool having it explained to me first-hand.
This technique used pictures (3 near-orthogonal ones) of an object on a table and then used an algorithm to generate a points model of the object.
The description of the algorithm made me think of vacuum-sealing. It first finds a bounding sphere, and then shifts the points inward in 3-space until the points shrink-wrap the data. Cool stuff!
Helge (the guy that suggested we team up for lunch the other day) is giving a talk on computers reading lips. Fascinating! Apparently he got the idea from watching 2001: A Space Odyssey. Unfortunately I was too busy trying to catch up to get some of the early details. :( But, as I’m sure you can imagine: really cool. This project used scipy and scikits extensively.
It’s actually pronounced sho-GOON, not SHOW-gun. Which reminds me, when Stefan gave his tutorial, he says GNU Octave as “Oct-AYVE” instead of “OCK-tiv.” This is only really funny because saying it like “Oct-AYVE” was an inside joke, indicating a total willful ignorance regarding music.
Anyways: My battery is about to die and I haven’t found a plugin, so more later!
Edit: Here’s a link). Shogun is actually really neat, and I’d love to find a reason to use it. It’s apparently really good if you want to use the support vector machine algorithm with complex kernels.
A fellow redditor offered to take me to Houndstooth, and I took him up on it. These guys seriously make a hell of a cup of coffee. This was the Godly experience I’ve been looking for to cancel out the stupid hotel coffee and clear out the cobwebs. From what I understand, their espresso machine is like a $25,000 dollar masterpiece.
Here’s the github repo. This is a pretty fast talk and poor Justin ran out of time, but the basic idea is that it does all the setup of a cluster on EC2 for you. Instead of spinning up custom instances, you can spin up an entire cluster, all set up and ready to rock, with the use of StarCluster. Definitely a cool idea! I kind of have this image of, well, a cluster in a box.
I don’t know if pomsets is my cuppa tea, but there was definitely a nice overview here on What You Need for a cloud computing setup. Michael Pan presented the following list:
The project hasn’t been officially released, but their Bitbucket repo is available. My impression of StarFlow is that it combines the paradigm of multiple applications of things like
cat in.csv | something > out.csv #probably sans-cat
with cluster computing. This is exciting because this really is how I work a lot of the time. I think this would cough mesh well with my current research, actually.
It also seems StarFlow and StarCluster work really well together. Awesome!
As an aside: By browsing about, I found that one of the devs made what looks like a fuckin’ sweet tabular data module for python, and saved me the effort of having to do it myself. Maybe I can combine it with my ideas involving built-in interpolation. Totally gonna fork that shit.