I want to share an interesting project that has appeared on the Web recently : the AirXCell project.
(As some of you already know, I am somewhat involved in this project :-)

AirXCell is an online R application framework currently supporting a programmable spreadsheet and an R development environment.

AirXCell is based on R - The GNU R Project for Statistical Computing. Current version is still somewhat limited yet fully functional.

Quoting the AirXCell User documentation :

AirXCell intents to revolution the world of spreadsheet applications and computational software by providing a product that:

• implements a web application on the most cutting edge of technology that outpaces the current classical spreadsheet applications in terms of user experience, potential and features,
• merges the world of spreadsheet application (e.g. Microsoft Excel, GNUmeric, etc.) and the world of computational software (e.g. Mathematica, Mathlab, etc.) and
• revolutions the usual approach in spreadsheet applications.

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I've been working a few years ago on an architectural concept for some very specific piece of software my former company had to develop. The technical challenges were huge and the field was pretty complex. In addition, the timeframe was very little and we have had to rush a lot to get it ready and prototyped in time.

In the end we screwed up ... totally. The concept was miles away from what was required and we pretty much had to start it all over. Months of work were just good enough to be thrown away with the trash.

Not used at all to such failures, I decided to take some time to understand what happened, what went wrong.

My investigations led to the following story, a pretty funny though quite common developer tale :

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Functional programming addicts,

I'm following an Haskell programming course. It was a short course, though we ran pretty much completely through the book "Programming in Haskell" by Graham Hutton. My personal view on this is that Haskell is a great language which offers a concision rarely reached by other languages, even other functional ones. The book sucks though. It's follows a way too much theoretical approach which makes it quite cumbersome and not interesting at all.

I've been told though that Hutton's book is the reference for Haskell programming. On my side I really found the various tutorials I could find online much more useful than the thorough lecture of this book I've been pretty much forced to follow.

Anyway, as usual I made a nifty summary on this book, so help yourself :

Haskell summary

The summary stands on three A4 pages and should serve as a reference for those who are initiated to Haskell programming and seek for a quick programming reference.

Happy reading, HTH

Guys,
I have written a quite amazing summary on the book "Introduction to the theory of computation" by Michael Sipser. It's definitely not a replacement for the book itself as it lacks the basic explanation required to understand the presented concepts. But if you have read this book and you're looking for a short summary standing on 7 A4 pages, there you have it.

The summary focuses on the most important concepts presented by the book and holds the mandatory illustrations going along the various concepts. Well there isn't much more to say about it, so if you have read that book, check out this summary. You should be pretty amazed to see that pretty much everything actually is in it ... in less than 7 pages.

It's worth to mention though that it's quite a big file (3.8 Mb).

Summary Theoretical Computer Science

Good reading, HTH