Un peu de math

• Adapting to blended learning - 2020-11-24

  A post describing some of the approaches I have used to adapt to the changes imposed by safety measures.

• Setting up a spell checker for LaTeX (or anything really) via github actions - 2020-10-21

  A post showing how to use aspell and github actions to check spelling.

• Deploying a static site (built with R and Python) via github actions - 2020-10-18

  A post showing how to deploy a static site using github actions.

• Computing nash equilibria in R - 2020-02-26

  Using vertex enumeration to compute equilibria in R

• Not reproducing Axelrod's first tournament - 2019-05-24

  Using the latest Axelrod release to (fail to) reproduce Axelrod's tournament but investigating the replicator dynamics to get similar results

• Making a kernel available to Jupyter - 2019-05-06

  A short post with the command needed to make a given kernel appear in Jupyter dropdown menu

• A (very reproducible) paper about recognising zero determinant strategies - 2019-04-03

  Describing a recent pre print and also pointing at the recognition it got for reproducibility.

• Comparing different methods for computing steady state probabilities of continuous time Markov chains using Python - 2018-12-19

  Continuous time Markov chains can be used to model a variety of systems, computing there steady state probabilities can be done a number of different ways.

• Simulating a Galton board with Markov chains, eigenvalues and Python - 2018-11-26

  Use the stationary distribution of an absorbing markov chain to simulate a Galton board

• Iterating over many lists at the same time in Python with `zip` - 2018-11-23

  An overview of the awesome `zip` generator in Python.

• Review of an arxiv preprint about student interaction with video - 2018-07-11

  Reviewing a preprint looking at student performance vs interaction behaviour in video

• Just enough static site generator - 2018-07-10

  A description of a small python script as a static site generator

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A blog about programming (usually scientific python), mathematics (usually game theory) and learning (usually student centred pedagogic approaches).

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