I am a newbie in the Haskell land. I was lost but found some good maps and discovered there is a tradition in Haskell land : writing a monad tutorial.

There are so many monad tutorials that writing a new one is getting difficult. And writing a good one if even more difficult. So, I am just going to explain my own understanding.

The first thing to note is that monads are EASY !!

I am often forced to use Windows :( But unfortunately, I have been unable to find a version of lambdabot for it. Since I am using this excellent tool more and more often, I decided to try to build it for windows.

I made some updates to my small Haskell PDF library.

I am currently learning Haskell and the only way to learn a programming language is coding. So I decided to write a portable PDF library.

Le principe d'incertitude de Heisenberg, tel qu'il est présenté dans les livres de vulgarisation, dit : toute mesure perturbe l'objet mesuré donc il y a une limite ultime à la précision des mesures.

Mais ceci n'est pas le principe d'incertitude !

After some work I am happy to announce that I finally have a LifeBlog compatible blog.

It is of course impossible to choose, in a objective and absolute way the best programming language. Choosing a programming language is dependent on too many things. A language which may be very good for a specific use may be the wrong language to use for another task.

A new blog, a new hoster and I hope several new articles.

I like this overview of the mathematical structures used in theoretical physics. Click on the picture to see the full size version.

Most physical systems are modelized using continuous mathematics. A cellular automaton is different : it is a discrete system. A regular grid of cells in one, two or several dimensions is the stage where the dynamics is taking place. Each cell can have a finite number of states. The state of a cell is changing as a function of a time which is also discrete.