Robert Hardy will present a live-coding session where we use the Python Pandas data-science library to carry out some analysis of poker strategies.
Armed with a poker hand evaluator we will aim to demonstrate a few of the concepts that Robert wrote about once-upon-a-time in a blog post on entry-level poker strategy
Robert will code up a few typical Pandas snippets and discuss his approach to data-science exploratory work.
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Data Science meets Poker
Robert Hardy is a full stack quant, with over 12 years of experience in the front office teams of major financial institutions. He has built professional portfolio management systems entirely from open source components. He experienced an epiphany when he was introduced to TDD, pair programming and Agile methods. Robert talks and blogs on topics related to software and mathematics, and with his diploma in painting and ceramics in hand he claims to even have some level of expertise in the Fine Arts.