Progressive F# Tutorials - New York City 2012 / Adv track - numerical computing

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Description

Many developers need to implement solutions which require some math or stat modelling. In this session we will show you how F# allows us to write elegant and expressive numerical code. You will work with matrices, random number generators and linear solvers. We'll start with an overview of F# features which make it ideal for numerical development. Then, in a mixture of demos and exercises, we will implement simple Monte Carlo methods and try to fit linear regression model to a dataset. We will be using FCore math library, which you can download from www.statfactory.co.uk.

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Tomas Petricek (tomas.petricek)

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Tomas Petricek is a long time F# enthusiast, using F# since the early Microsoft Research versions. He has been a Microsoft C# MVP since 2004, and together with Jon Skeet wrote Real-world Functional Programming which explains basic functional concepts using C# 3.0 (teaching F# alongside) and which shows several appealing real-world uses of F# and functional techniques. He also contributed to the development of F# during two internships at Microsoft Research.

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on 12/7/2023 9:30 AM
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on 8/31/2022 5:03 PM
Figure 1. The Timeless Way of Building - Christopher Alexander Many programmers know the name of the architect Christopher Alexander for his work on design patterns that has been adapted into the world of programming. A lot of people know of the, somet[...]
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on 4/28/2022 2:37 AM
Figure 1. Virtually eliminates your coding load. FLOW-MATIC promotional brochure (1957) No-code is a hot new topic for programming startups. The idea is to develop a system that allows end-users to do the programming they need without the difficult tas[...]
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on 10/8/2021 4:14 AM
I started to learn how to program in high school at the end of the 1990s using a mix of BASIC, Turbo Pascal and HTML with JavaScript. The seed for this blog post comes from my experience with learning how to program in JavaScript, without having much guid[...]
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