Progressive F# Tutorials - New York City 2012 / Domain-specific languages in F#

domainlanguagesspecific

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Description

When designing software, developers often need to solve numerous instances of a single problem. Examples include writing business rules engine, detecting patterns in changing prices and many others. Domain specific languages (DSLs) provide a powerful mechanism for solving such problems – by designing a single composable library (or a language), we get a tool that can be used to solve a number of instances of the same problem. In this tutorial, you’ll learn how to write two kinds of domain-specific languages in F#. We start by looking at languages that are implemented as F# libraries and then we move on to writing your own parsers for custom spreadsheets.

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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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Tomas's upcoming trainings

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Tomas's past online trainings

666 GBP
Tech Mesh London 2012
London
Dec 4-6, 2012
The Alternative Programming Conference
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525 USD
Progressive F# Tutorials - New York City 2012
New York
Jun 5-6, 2012
Join us for this 2-day, 2-track F# event, packed with hands-on tutorials covering the latest developments in the fast moving world of F# Programming. Whether new to F# or seasoned veteran, be ready for an action packed two day adventure.
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Free
In the brain of Phil Trelford,Tomas Petricek
N/A
May 14, 2012
Tonight we have two talks, Phil Trelford on F# for Commodities Trading and Tomas Petricek on F# for Finance.
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195 GBP
Functional Programming eXchange 2012
London
Mar 16, 2012
Join Robert Pickering, David Pollak, Erik Hesselink, Loic Denuziere, Kevin Wright, Andres Löh, Tomas Petricek, Miles Sabin, Bruce Durling, and some 100 others passionate about Functional Programming.
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Free
Teaching F#: From numerical expressions to 3D graphics
Online
Tuesday, February 15, 2011
One of the key concepts of functional programming is compositionality – the fact that we can build complex software using several basic “building blocks” and just a few ways of combining them. In this talk, I’ll demonstrate how we can teach this concept us...
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f#teaching

Tomas's blog posts

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The Timeless Way of Programming
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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f#
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No-code, no thought? Substrates for simple programming for all
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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f#
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Pop-up from Hell: On the growing opacity of web programs
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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f#
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Software designers, not engineers: An interview from alternative universe
on 4/19/2021 5:30 AM
While the physicists investigate the nature of the mysterious portal that has recently appeared in North London, several human beings recently came through the portal, which appears to be a gate into an alternative universe. As we understood from the last[...]
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f#
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Is deep learning a new kind of programming? Operationalistic look at programming
on 10/6/2020 5:43 PM
In most discussions about how to make programming better, someone eventually says something along the lines of "we'll just have to wait until deep learning solves the problem!" I think this is a naively optimistic idea, but it raises one interesting quest[...]
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f#
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