I taught Parallel Python at EuroSciPy 2012 last week in Brussels, I’ve uploaded all the necessary stuff. In the talk we covered:
- multiprocessing (built in)
- parallelpython (an easy shift from multiprocessing to do mult-machine and -core processing)
- gearman (cross-platform job server for heterogeneous job processing)
- picloud.com (was python only, now any infrastructure cloud-based processing using EC2)
- ipython cluster (for easy parallelisation with ipython)
Here’s my github repo with the powerpoint and python source, the README outlines the install requirements. I used python 2.7 on Ubuntu but it should run on any platform. This is related to my PyCon 2012 High Performance Python tutorial. Here’s my class of 70, taught by a bleary-eyed me as I’d just flown from San Francisco (9 hours time difference ugh!):
I’m thinking of writing an updated High Performance+Parallel Python guide (probably as a self-published book), if you’re interested in hearing about it please join the High Performance Python Mailing List (I’ve only got a list right now). I’ll make an announce once I know more.
We had I think 190 folk at the tutorials and 170 for the conference over the weekend (along with a discussion about whether weekend conferences hurt attendance…). 25% of the attendees were small companies (my tweet) and I was jolly pleased to attend my first sprint, which I promptly ignored, such that I could hack a change to Fabian’s new memory_profiler such that you don’t have to use a decorator to choose the function to profile (which, um, I must submit back in the next few days).
I also gave a 3 minute lightning talk on my experiences building (and ending) StrongSteam via StartupChile. The point I forgot to make (dang just 3 minutes!) is that whilst StartupChile will be on various government radars around the world, I doubt it’d be on related radars for governments looking to build a similar programme that includes open research (hopefully also coupled with entrepreneurship). As and when a government/institution suggests inviting researchers to their country to collaborate on large, ground breaking research problems requiring much collaboration, perhaps with business opportunities, I hope they look to StartupChile as a template for successfully inviting 1000s of folk under a simple grant systems to a foreign country.
As noted in my slides I’m also looking for new work opportunities around Big Data/Natural Language Processing/High Performance Computing – take a look at my work site and please drop me an email.
As usual we had a big social, organised by Ludovic Gasc of AFPyro. Here are my mussels nestled in their bed with snails wrapped in warm cheese blankets (fine food!):
Ian applies Data Science as an AI/Data Scientist for companies in ModelInsight and in his Mor Consulting, sign-up for Data Science tutorials in London. He also founded the image and text annotation API Annotate.io, lives in London and is a consumer of fine coffees.