Advent Art: Generating Hokusai paintings
For the last few years, the Japanese F# community has been running the F# Advent Calendar (2010, 2011, 2012). Each advent day, one person writes an article about something interesting in F#. I have been following the advent calendar last year on Twitter and when the planning started for this year, I offered to write an article too. You might have noticed that I posted a Japanse version of the article in December as part of the advent calendar 2013.
A number of people helped to make this happen - @igeta arranged everything and helped with reviewing, @yukitos translated the article and @gab_km reviewed the translation. Thanks!
But what should I write about? It would be nice to look at some of the F# open-source libraries and projects that have been developing over the last year in the F# community. At the same time, can I relate the topic of the article to Japan? After some thinking, I came up with the following plan:
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First, we'll use the F# Data library and the Freebase to learn something about Japanese art. I should add that thanks to @yukitos the library now also has a documentation in Japanese.
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Then we'll pick one art work and try to recreate it in F#. Given my artistic skills, this part will definitely fail, but we can try :-).
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Finally, we'll use the FunScript project to turn our F# code into JavaScript, so that we can run it as a pure HTML web application that also works on mobile phones and other devices.
Published: Tuesday, 21 January 2014, 6:49 PM
Tags:
f#, art, fractals, funscript, f# data
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Coeffects: The next big programming challenge
Many advances in programming language design are driven by some practical motivations. Sometimes, the practical motivations are easy to see - for example, when they come from some external change such as the rise of multi-core processors. Sometimes, discovering the practical motivations is a tricky task - perhaps because everyone is used to a certain way of doing things that we do not even see how poor our current solution is.
The following two examples are related to the work done in F# (because this is what I'm the most familiar with), but you can surely find similar examples in other languages:
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Multi-core is an easy to see challenge caused by an external development. It led to the popularity of immutable data structures (and functional programming, in general) and it was also partly motivation for asynchronous workflows.
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Data access is a more subtle challenge. Technologies like LINQ make it significantly easier, but it was not easy to see that inline SQL was a poor solution. This is even more the case for F# type providers. You will not realize how poor the established data access story is until you see something like the WorldBank and R provider or CSV type provider.
I believe that the next important practical challenge for programming language designers is of the kind that is not easy to see - because we are so used to doing things in certain ways that we cannot see how poor they are. The problem is designing languages that are better at working with (and understanding) the context in which programs are executed.
Published: Wednesday, 8 January 2014, 4:31 PM
Tags:
research, coeffects, functional programming, comonads
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