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Professional Functional Programming in C#: Classic Programming Techniques for Modern Projects
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Professional Functional Programming in C#: Classic Programming Techniques for Modern Projects
Название: Professional Functional Programming in C#: Classic Programming Techniques for Modern Projects
Автор: Oliver Sturm
Издательство: John Wiley & Sons
Год: 2011
ISBN: 9788126532537
Формат: PDF
Страниц: 290
Размер: 88,18 МБ
Язык: English

Functional Programming with C# is intended for professional .NET developers using C#. Prior experience with functional programming is not required.

Special Features: Popular Technology - C# is the number one language used by .NET developers and one of the most popular programming languages in the world· Leading Brand - Wrox is the leading publisher in the .NET space· Expert Author - Oliver Sturm is a well-known and respected MVP for C# and frequently writes and speaks on the subject of functional programming. In the .NET world he is the guy for functional programming.· A growing trend - developers are looking to functional programming methods more often to increase code readability, maintainability and performance· Mainstream attention - functional programming is suddenly on the agenda at popular developer conventions including Microsoft's PDC and Sun's JavaOne· Meets market need - C# programmers don't want to learn a new language to take advantage of functional programming. This title allows them to leverage their existing skills and currently no other book caters to C# developers.

About The Book: Functional Programming in C# leads you along a path that begins with the historic value of functional ideas. Inside, C# MVP and functional programming expert Oliver Sturm explains the details of relevant language features in C# and describes theory and practice of using functional techniques in C#, including currying, partial application, composition, memoization, and monads. Next, he provides practical and versatile examples, which combine approaches to solve problems in several different areas, including complex scenarios like concurrency and high-performance calculation frameworks as well as simpler use cases like Web Services and business logic implementation.







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