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Haskell High Performance Programming

You're reading from   Haskell High Performance Programming Write Haskell programs that are robust and fast enough to stand up to the needs of today

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781786464217
Length 408 pages
Edition 1st Edition
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Author (1):
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Samuli Thomasson Samuli Thomasson
Author Profile Icon Samuli Thomasson
Samuli Thomasson
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Table of Contents (16) Chapters Close

Preface 1. Identifying Bottlenecks 2. Choosing the Correct Data Structures FREE CHAPTER 3. Profile and Benchmark to Your Heart's Content 4. The Devil's in the Detail 5. Parallelize for Performance 6. I/O and Streaming 7. Concurrency and Performance 8. Tweaking the Compiler and Runtime System (GHC) 9. GHC Internals and Code Generation 10. Foreign Function Interface 11. Programming for the GPU with Accelerate 12. Scaling to the Cloud with Cloud Haskell 13. Functional Reactive Programming 14. Library Recommendations Index

Erroring and handling exceptions

Haskell very intentionally does not have a null/None/nil value like many popular languages have, both strongly typed (Java) or not (Perl). Null values are exceptionally bad for program safety. Null values are not expressed in types, giving nulls no choice but to hide from the unsuspecting programmer and pop into sight in production.

Nulls are one of the main causes of bugs and security holes in today's software, which is why Haskell has opted for a no-null policy. This might sound restrictive at first, but actually the alternative representations for possibly failing computations in Haskell are various and rich.

First, there are infinite ways to embed the possibility of failing into the datatype: Maybe, Either, YourAwesomeDataType, and so on.

Second, with the wonderfully extensive abstraction machinery in Haskell we can compose and recover from failing situations on a very high level. Although these functors, monoids, monads, and whatnots have scarily...

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