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 recommendation. Update there’s a nice thread on Reddit/r/python discussing what’s requir
High Performance Python tutorial v0.2 (from EuroPython 2011)
My updated High Performance Python tutorial is now available as a 55 page PDF. The goal is to take you on several journeys which show you different ways of making Python code run much faster (up to 75* on the CPU, faster with a GPU). UPDATE As of October 2014 I’ll be teaching High Performance Python and Data Science in London, sign-up here to join our announce list (no spam, just occasional notes
High Performance Python Tutorial v0.1 (from my 4 hour tutorial at EuroPython 2011)
High Performance Python Tutorial v0.1 (from my 4 hour tutorial at EuroPython 2011) UPDATE – the v0.2 High Performance Python tutorial is now available. I enjoyed running a 4 hour tutorial on High Performance Python at EuroPython last week (great event guys!). The class was limited to 40 people and I’d love for more people to benefit from the several weeks of work that went into it so I’ve written
Headroid1 – a face tracking robot head
The video below introduces Headroid1, this face-tracking robot will grow into a larger system that can follow people’s faces, detect emotions and react to engage with the visitor. The above system uses openCV’s face detection (using the Python bindings and facedetect.py) to figure out whether the face is in the centre of the screen, if the camera needs to move it then talks via pySerial to BotBuil
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22,937* faster Python math using pyCUDA
