ISBN: 9781484227800 - practical concurrent haskell: with big data applications (16 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 2017. 1st ed. Paperback. . . . . .

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: Brand New. 266 pages. 9.75x6.75x0.75 inches. In Stock.

Condizione: New. pp. 280.

Condizione: New. 2017. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condizione: Neu. Practical Concurrent Haskell | With Big Data Applications | Stefania Loredana Nita (u. a.) | Taschenbuch | xv | Englisch | 2017 | Apress | EAN 9781484227800 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll LearnProgram with HaskellHarness concurrency to HaskellApply Haskell to big data and cloud computing applicationsUse Haskell concurrency design patterns in big dataAccomplish iterative data processing on big data using HaskellUse MapReduce and work with Haskell on large clustersWho This Book Is ForThose with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++. 284 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Learn how to apply Haskell to big data and cloud computing applicationsPerform iterative data processing using HaskellExploit multicore processors with the help of parallelism.

Condizione: New. Print on Demand pp. 280.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll LearnProgram with HaskellHarness concurrency to HaskellApply Haskell to big data and cloud computing applicationsUse Haskell concurrency design patterns in big dataAccomplish iterative dataprocessing on big data using HaskellUse MapReduce and work with Haskell on large clustersWho This Book Is ForThose with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.…

Condizione: New. PRINT ON DEMAND pp. 280.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1. This book aims to sell like Apress' Beginning Haskell at nearly 2,000 units total net sales.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.