We bring together the community of mathematically-minded folk to share ideas, knowledge and to learn from each other. The emphasis is on technologies and techniques that make it easier than ever to build numerical applications. Different from the other data-science or quant groups, which often focus only on ‘doing mathematics on a computer’, we take a broader perspective and look at all the ingredients of good software—from low- to high-level, across a collection of languages, covering software engineering best practices on the way.
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Asynchronous: doing more than one thing at a time in Python
Featuring Jack Grahl
Risk Analysis: Experience vs Data
Featuring Markus Gesmann
JupyterLab - Your Personal Data Science Workbench
Featuring Markus Schanta
Building web applications for back testing systematic investment strategies (using R with Shiny)
Featuring Kirill Egorov
Kirill gives a live-coding overview of the Shiny application from the RStudio team, which makes it substantially easier to produce interactive web applications for research into an investment strategy.bootstrap algorithmic-trading shiny r web-apps
Join Robert Hardy at TDD-ing a Bayesian Classifier
Featuring Robert Hardy