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GraphQL with Jorge Gueorguiev Garcia + Geometric Algebra with Andrew Willshire

Jul 18, 2019 · London, United Kingdom

Please sign up with Skills Matter to get an entry code for the meetup: https://skillsmatter.com/meetups/12458-f-sharpunctional-londoners-july

Jorge loves REST, but found GraphQL interesting and decided to investigate. After working on his first production GraphQL API, he has pitted them against each other in a bout over three rounds, to compare their qualities and advantages. May the best API win!

Although Jorge started early (with QuickBasic and Turbo Pascal), it took him a while to get into the developer way of life. Nonetheless, he has over ten years experience' as a software developer, mainly in C# and .NET. Jorge has a keen interest in other languages, especially functional programming, and is currently working on a Clojure project.

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Geometric algebra has been proposed as a unifying mathematical framework for physics. Proponents claim that it provides compact and intuitive descriptions in many areas including classical and quantum mechanics, electromagnetic theory and relativity. GA has also found use as a computational tool in computer graphics and robotics.

Andrew is an analytics consultant with his own company, Diametrical Ltd, with experience of building software tools for statistical modelling and optimisation, increasingly in F#.

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We'll be giving away two tickets to ProgNET 2019 and also a copy of Riccardo Terrell's book "Concurrency in .NET"!

I'm delighted to say that G-Research will again be sponsoring pizza at the event - please check out their website: https://www.gresearch.co.uk/

Event organizers
  • F#unctional Londoners Meetup Group

    F#unctional Londoners is a meetup group that aims to bring together Londoners with an interest in functional programming with F#. Topics include: - Essentials of functional programming and F# - Assessing what kind of projects F# is well suited for - or not - Using F# alongside other languages and libraries - Asynchronous and parallel programming - Data visualisation - Scientific programming - Numerical methods and optimisation - Financial modelling

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