By Don Syme, Adam Granicz, Antonio Cisternino
Expert F# 2.0 is ready sensible programming in a gorgeous language that places the ability and style of practical programming into the arms builders. together with .NET, F# achieves unequalled degrees of programmer productiveness and application readability.
Expert F# 2.0 is
- The authoritative consultant to F# by way of the inventor of F#
- A entire reference of F# thoughts, syntax, and lines
- A treasury of professional F# strategies for sensible, real-world programming
F# is not just one other useful programming language. it is a general-purpose language excellent for real-world improvement. F# seamlessly integrates practical, central, and object-oriented programming kinds so that you can flexibly and assuredly resolve any programming challenge. no matter what your historical past, you will discover that F# is straightforward to profit, enjoyable to exploit, and terribly strong. F# will swap how you imagine about–and pass about–programming.
Written by way of F#'s inventor and significant members to its improvement, Expert F# 2.0 is the authoritative, finished, and in-depth consultant to the language and its use. Designed to aid others develop into specialists, the 1st a part of the ebook speedy but conscientiously describes the F# language. the second one half then indicates how one can use F# elegantly for a large choice of functional programming tasks.
The world's most desirable specialists in F# enable you software in F# the best way they do!
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Additional resources for Expert F# 2.0
Example text
Here are some of the immutable data structures commonly used with F#: • Tuple values and option values: These are immutable and are basic workhorses of F# programming. • Immutable linked lists of type 'T list: These are cheap to access from the left end. They’re inefficient for random-access lookup because the list must be traversed from the left for each lookup—that is, random-access lookup is O(n), where n is the number of elements in the collection. List<'T>. Collections. These are cheap to add, access, and union, with O(log(n)) access times, where n is the number of elements in the collection.
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You can also use these operators on other data types, such as to compare lists of integers, and you can customize their behavior for new types you define. Chapter 5 discusses generic comparison in detail, and Chapter 8 discusses customizing generic comparison. When used with floating-point values, these operators implement the IEEE semantics for NaN (Not a Number) values. For example, (NaN = NaN) is false, as are (NaN <= NaN) and (NaN < NaN). Operators includes the definition of a number of useful overloaded math operators.