2 April 2013 - 8:32Applied Parallel Computing (PyCon 2013 Tutorial) slides and code
Minesh B. Amin (MBASciences) and I (Mor Consulting Ltd) taught Applied Parallel Computing over 3 hours at PyCon 2013. PyCon this year was a heck of a lot of fun, I did the fun run (mentioned below), received one of the free 2500 RaspberryPis that were given away, met an awful lot of interesting people and ran two birds-of-a-feather sessions (parallel computing for our tutorial, another on natural language processing).
I held posting this entry until the video was ready (it came out yesterday). All the code and slides are in the github repo. Currently (but not indefinitely) there’s a VirtualBox image with everything (Redis, Disco etc) pre-installed.
After the conference, partly as a result of the BoF NLP session I created a Twitter graph “Concept Map” based on #pycon tweets, then another for #pydata. They neatly summarise many of the topics of conversation.
Here’s our room of 60+ students, slides and video are below:
The video runs for 2 hours 40:
Here’s a list of our slides:
- Intro to Parallelism (Minesh)
- Lessons Learned (Ian)
- List of Tasks with Mandelbrot set (Ian)
- Map/Reduce with Disco (Ian)
- Hyperparameter optimisation with grid and random search (Minesh)
These are each of the slide decks:
I also had fun in the 5k fun run (coming around 77th of 150 runners), we raised $7k or so for cancer research and the John Hunter Memorial Fund.
Ian applies Data Science as an AI/Data Scientist for companies in ModelInsight and Mor Consulting, founded the image and text annotation API Annotate.io, co-authored SocialTies, programs Python, authored The Screencasting Handbook, lives in London and is a consumer of fine coffees.