One question you have when you use Python is what do I do with my data. How do I process it and analyze it. The aim of this flow chart is to simply provide a simple to use ‘map’ of the PyData stack. At PyData Amsterdam I’ll present this and explain it in more detail… Continue reading A map of the PyData Stack
This is just a little wrapper post to include some of the things I’ve worked on lately. I wrote up a short piece on Exploring new numpy features including the new matrix operator I wrote up some PyMC3 examples on my Github – this includes some Bayesian Logistic Regression and some classical examples of conversion modelling. I… Continue reading What I’ve been working on
The new version of NumPy 1.10 contains the new Python @ operator. This is for matrix multiplication and greatly simplifies some code. This also appeals to me as a Math geek because it makes it really easy to write code down based on what you read in a paper. This makes implementing a linear algebra… Continue reading Exploring the new NumPy features: Rewrite Python for Data Analysis
Yesterday evening I gave a talk at the Data Science Meetup in Luxembourg. This is part of my preparation for the talk at PyData the Python conference for Data Enthusiasts in Berlin. A few remarks – my slides from last night are here in IPython notebook format. I used for the presentation the excellent RISE… Continue reading Talk: Can Probabilistic Programming be applied to Rugby?