Archives of #Django

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 […]

More Python 3.3 downloads than Python 2.7 for past 3 months

Since PyCon 2013 I’ve been in a set of conversations that start with “should I be using Python 3.3 for science work?”. Here’s a recent reddit thread on the subject. Last year I solidly recommended using Python 2.7 for scientific work (as many key libraries weren’t yet supported). I’m on the cusp of changing my […]

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 […]

Fix for ConceptNet error “Settings cannot be imported, because environment variable DJANGO_SETTINGS_MODULE is undefined”

If you’re using ConceptNet and you see: ImportError: Settings cannot be imported, because environment variable DJANGO_SETTINGS_MODULE is undefined. then the fix is simple (I’ve been hacking away at an idea whilst at IUI2010 – thanks Rob for the fix). To replicate the error run: from import get_nl en_nl = get_nl('en') en_nl.is_stopword('the') The fix is […]

ConceptNetDaily Twitter Bot

I’ve just launched my second Twitter bot – @ConceptNetDaily takes a random concept from the A.I. site ConceptNet and posts it to Twitter with a link back to the site. A tweet looks like: “When humans own horses, humans groom and ride horses.” The TinyURL expands out to an address like: The aim […]