Archives of #Parallel Computing

PyConUK 2013

I’m just finishing with PyConUK, it has been a fun 3 days (and the sprints carry on tomorrow). Yesterday I presented a lightly tweaked version of my Brand Disambiguation with scikit-learn talk on natural language processing for social media processing. I had 65 people in the room (cripes!), 2/3 had used ML or NLP for […]

Semantic map of PyCon2013 Twitter Topics

Maksim taught a lovely Social Graph Analytics course at PyCon the day before I taught Applied Parallel Computing. I took his demo for a “poor mans LDA/LSI analysis” of a Twitter topic (rather than using full LDA it just uses co-incident hashtags) and added usernames to produce the plot below. Update – Analysing #pydata conference […]

Map/Reduce (Disco) on millions of tweets

Whilst working on data sciencey problems for AdaptiveLab I’m becoming more involved in simple visualisations for proof-of-concepts for clients. This ties in nicely with my PyCon Parallel Computing tutorial with Minesh. I’ve been prototyping a Disco map/reduce tutorial (part 2 for PyCon) using tweets collected during the life of SocialTies during 2011-2012. Using 11,645,331 tweets […]

Parallel Computing with Python Tutorial at EuroSciPy (end of August)

I’ll be teaching Parallel Computing with Python (abstract to follow) at EuroSciPy on 23rd August 2012 in Brussels. Early bird tickets for the conference are available until July 22nd (even without the 50% discount the cost is still super-low). In my tutorial we’ll work through parallel processing examples on 1 machine with multiple cores and […]