F# for Scientists by Jon Harrop

F# for Scientists



Download F# for Scientists




F# for Scientists Jon Harrop ebook
Page: 370
Format: pdf
ISBN: 0470242116, 9780470242117
Publisher: Wiley-Interscience


It will quickly give you a feel for working with data in F#. F# is a functional programming language for the .NET Framework and really should be looked at by scientists/researchers. I dare you to buy that, in person, at Borders. Sep 25, 2008 - Also, if you're a freaking ninja rocket scientist, you can always read "F# for Scientists." Seriously. Apr 16, 2013 - For the data professional, I recommend working through the Learn | Data Science online labs. Oct 11, 2008 - F# for Scientists will bring you up to speed with basic syntax and programming language concepts. Jan 18, 2008 - Another motivator of mine to learn F# is that functional languages such as this are perfect for creating Domain Specific Languages (DSLs) and other languages. Sep 25, 2007 - So it was not that surprising to discover that one of the reasons of all the praise received by Dr. I'm looking forward to the release of his F# for scientists book. Sep 16, 2008 - A few weeks ago Dr. Microsoft commissioned them to write "F# for Scientists" earlier this year and that book should hit the shelves early next year. In short, it is an excellent book and an invaluable resource for those working in quantitative computing. Written in a clear and concise style with practical and enlightening examples, this book is accessible and easy to understand. Jon Harrop published F# for Scientists and I had the fortune of snagging a copy at work. Jan 30, 2013 - This presents huge opportunities in today's data-driven world, and we strongly encourage all developers and data scientists to use Try F# to seamlessly discover, access, analyze, and visualize big and broad data. Aug 30, 2008 - The September 2008 CTP of F# is now available for download. Aug 23, 2007 - Consequently, F# can be said to combine the brevity of Python with the performance of C#. Dec 23, 2013 - There has been a lot of discussion on-line recently about languages for data analysis, statistical computing, and data science more generally. I don't really want to F# has been open sourced for some time. Jon Harrop's book OCaml for Scientists is its set of examples.