Tech Mesh London 2012 / How F# Learned to Stop Worrying and Love the Data"

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Description

The world of data speaks a different language than the world of programming languages. It uses REST, SQL database schema, XML, JSON while programming languages only understand types and classes. This causes big confusion when we try to access data from programming languages, especially from those with (otherwise very useful) static type systems. How can a programming language learn to understand data? In this talk, I'll show how this is done using type providers in F# 3.0. You'll see how integrating data into the programming language opens the possibilities for creating exciting applications. Talk objectives: Explain the mismatch between data and programming languages and show how this can be solved by an extensibility mechanism like F# type providers. Target audience: Anyone who writes software that works with data including programmers, architects, analysts and data scientists.

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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 4/12/2017 6:05 AM
As someone who enjoys being at the intersection of the academic world and the world of industry, I'm very happy to see any attempts at bridging this harmful gap. For this reason, it is great to see that more people are interested in reading academic paper[...]
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on 3/7/2017 7:31 AM
If you read a about the history of science, you will no doubt be astonished by some of the amazing theories that people used to believe. I recently finished reading The Invention of Science by David Wootton, which documents many of them (and is well worth[...]
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on 3/2/2017 3:53 AM
As mentioned in an earlier blog post, I've been spending some time at the Alan Turing Institute recently working on The Gamma project. The goal is to make data visualizations on the web more transparent. When you see a visualization online, you should be [...]
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on 1/25/2017 4:31 AM
There were a lot of rumors recently about the death of facts and even the death of statistics. I believe the core of the problem is that working with facts is quite tedious and the results are often not particularly exciting. Social media made it extremel[...]
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on 10/11/2016 9:30 AM
This blog post is an edited and more accessible version of an article Thinking the unthinkable that I recently presented at the PPIG 2016 conference. The original article (PDF) has proper references and more details; the minimalistic talk slides give a [...]
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