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This is Ian Ozsvald's blog, I'm an entrepreneurial geek, a Data Science/ML/NLP/AI consultant, founder of the Annotate.io social media mining API, author of O'Reilly's High Performance Python book, co-organiser of PyDataLondon, co-founder of the SocialTies App, author of the A.I.Cookbook, author of The Screencasting Handbook, a Pythonista, co-founder of ShowMeDo and FivePoundApps and also a Londoner. Here's a little more about me.

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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:

Applied Parallel Computing PyCon 2013 (left side of room)

Applied Parallel Computing PyCon 2013 (left side)

The video runs for 2 hours 40:

Here’s a list of our slides:

  1. Intro to Parallelism (Minesh)
  2. Lessons Learned (Ian)
  3. List of Tasks with Mandelbrot set (Ian)
  4. Map/Reduce with Disco (Ian)
  5. 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.

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