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Progress on High Performance Python book

I figured a short update was in order. Micha (@mynameisfiber, github) and I are progressing on our High Performance Python book, we have a proposed chapter outline below and hope to have a rough cut of some early chapters for January. The book should be finalised ‘earlier in 2014’ though we won’t be drawn on […]

“Introducing Python for Data Science” talk at SkillsMatter

On Wednesday Bart and I spoke at SkillsMatter to 75 Pythonistas with an Introduction to Data Science using Python. A video of the 4 talks is now online. We covered: High Performance Python (profiling, line_profiler, memory_profiler, Cython, Numba) Natural Language Processing and Machine Learning (scikit-learn for brand detection) – based on my longer talk at […]

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 […]

Writing a High Performance Python book

I’m terribly excited to announce that I’m co-authoring an O’Reilly book on High Performance Python, to be published next year. My co-author is the talented Micha Gorelick (github @mynameisfiber) of bit.ly, he’s already written a few chapters, I’ll be merging an updated version of my older eBook and adding content based on past tutorials (PyCon […]

EuroSciPy 2013 write-up

The conference is over, tomorrow I’m sticking around to Sprint on scikit-learn. As last year it has been a lot of fun to catch up with colleagues out here in Brussels. Here’s Logilab’s write-up. Yesterday I spoke on Building an Open Source Data Science company. Topics included how companies benefit from open sourcing their tools, […]

Some Natural Language Processing and ML Papers

After I spoke at DataScienceLondon in June I was given a set of paper references by a couple of people (the bulk were by Levente Török) – thanks to all. They’re listed below. Along the same lines I have one machine learning paper aimed at beginners to recommend (“A Few Useful Things to Know about […]