2 April 2019
As always, there'll be free food & drinks, generously provided by our host, AHL.
We are issuing tickets via a lottery - if you want to be in with a chance of a place - sign up for the waitlist! The lottery will be run approx 1 week before the meetup, and we will re-run the lottery to fill any spaces that free up or use the waitlist towards the time of the event.
Playing chess with Python
This talk covers how to build a simple chess playing program in python, this will include minimax, piece valuation and positional evaluation. By the end of the talk there will be a functioning chess program running live. I will assume you know python but not the existing literature on how to write chess engines. I became fascinated by this topic after taking part in a competition with my brothers to build the best chess program during the Christmas holidays 2016.
User behavior on user session click data
Data pipelines are necessary for the flow of information from its source to its consumers, typically data scientists, analysts and software developers. Managing data flow from many sources is a complex task where the maintenance cost limits the scale of being able to build a large reliable data warehouse. This presentation proposes a number of applied data engineering principles that can be used to build robust easily manageable data pipelines and data products. Examples will be shown using Python on AWS.
How to track and organize your experimentation process
Type hinting and mypy for ML projects