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F# for Scientists by Jon Harrop

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

Good question, and one that I think needs to be answered. We didn't even want to do any visuals at first. Microsoft commissioned them to write "F# for Scientists" earlier this year and that book should hit the shelves early next year. Oct 17, 2012 - Is there a simple way to multiply the items of an array in F#? Aug 23, 2007 - Consequently, F# can be said to combine the brevity of Python with the performance of C#. Feb 20, 2009 - But the engineering and science types need a little love too, which with imperative programming such as C#, Java is not really able to supply. Blue Mountain Capital recently released Deedle, an open source library for exploratory data analysis written in F# by the brilliant Tomas Petricek and others. Apr 16, 2013 - For the data professional, I recommend working through the Learn | Data Science online labs. Excellent, with a strong focus on efficient computation through data structure selection and management. Harrop, who is the principal at Flying Frog Consultancy and a key player in the small-but-growing F# universe. So for example of I want to calculate a Just been reading F# for scientists on the train, looking at the database interops. Sep 24, 2008 - F# for Scientists (author, publisher, Amazon) is a new book by British author Dr. Aug 21, 2009 - So why should a computational scientist use F# over FORTRAN? - Visual F# 2010 For Technical Computing (the updated version of F# For Scientists). It will quickly give you a feel for working with data in F#. Authenticity and Awesome happen the moment you stop trying to control the world around you … a futile exercise, anyway. Aug 18, 2013 - 1) Life Begins at F#@k It! Mar 12, 2014 - He is a consultant at FPbridge.co.uk, creator of and blogger on F# for Fun and Profit, and the author of Understanding Functional Programming. Apr 22, 2013 - As the three of us embarked on this new data-mining project, we were the data scientist, the manager and the developer, who knew nothing about visualizations. Jan 10, 2014 - Experiences with technical computing on the Microsoft .