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Applied 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 […]

Analysing #pydata, London and Brighton tweets for concept mapping

Below I’ve visualised tweets for #PyData conference and the cities of London and Brighton – this builds on my ‘concept cloud‘ from a few days ago at the #PyCon conference. Props to Maksim for his Social Media Analysis tutorial for inspiration. Update – Maksim’s Analying Social Networks tutorial video is online. For the earlier #PyCon […]

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 […]

PowerPoint: Brief Introduction to NLProc. for Social Media

For my client (AdaptiveLab) I recently gave an internal talk on the state of the art of Natural Language Processing around Social Media (specifically Twitter and Facebook), having spent a few days digesting recent research papers. The area is fascinating (I want to do some work here via my as the text is so […]

ANN: twitter-text-python release (Python Tweet parsing library)

A few weeks back I took over as maintainer of the twitter-text-python library (source on github). This library lets you take a tweet like: "@ianozsvald, you now support #IvoWertzel's tweet ... parser!" and extract the Twitter entities as defined in the Twitter conformance tests. The entities in the above tweet would be: reply: 'ianozsvald' […]

PyCon Tutorial Notes for Applied Parallel Computing

This post is for students of the Applied Parallel Computing tutorial that Minesh B. Amin and I will run during March 2013 at PyCon.This is a wiki-post, I’ll update it over the next month. If you are attending the tutorial you must check this post in the run-up to the tutorial. Important notes are below […]

Layers of “data science”?

The field of “data science” covers a lot of areas, it feels like there’s a continuum of layers that can be considered and lumping them all as “data science” is perhaps less helpful than it could be. Maybe by sharing my list you can help me with further insight. In terms of unlocking value in […]

Do self-driving cars make the courier redundant?

I’ll start with a quote via “Why workers are losing the war against the machines” taken from A Farewell to Alms by economist Gregory Clark: “There was a type of employee at the beginning of the Industrial Revolution whose job and livelihood largely vanished in the early twentieth century. This was the horse. The population […]

Office social graph connectivity using NetworkX

I wanted an excuse to play with the Python NetworkX graph visualisation library and recently I joined AdaptiveLab to consult on some data science & visualisation problems. Thus formed the question – how were we all connected together? I figured that looking at who follows us all will yield a little insight into the people […]