F# for Scientists

Foreword

Computational science is one of the wonders of the modern world. In almost all areas of science the use of computational techniques is rocketing, and software has moved from being a supporting tool to being a key site where research activities are performed. This has meant a huge increase in the importance of controlling and orchestrating computers as part of the daily routine of a scientific laboratory, from large teams making and running the computers performing global climate simulations to the individual scientist/programmer working alone. Across this spectrum, the productivity of teams and the happiness of scientists depends dramatically on their overall competency as programmers, as well as on their skills as researchers within their field. So, in the last 30 years we have seen the continued rise of that new profession: the scientific programmer. A good scientific programmer will carry both epithets with pride, knowing that programming is a key foundation for a successful publication record.

However, programming cultures differ widely, and, over time, gaping divides can emerge that can be to the detriment of all. In this book, Dr. Harrop has taken great steps forward to bridging three very different cultures: managed code programming, scientific programming and functional programming. At a technical level, each has its unique characteristics. Managed code programming, epitomized by .NET and Java, focuses on the productivity of the (primarily commercial) programmer. ...