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Scala Functional Programming Patterns

You're reading from   Scala Functional Programming Patterns Grok and perform effective functional programming in Scala

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783985845
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Table of Contents (13) Chapters Close

Preface 1. Grokking the Functional Way 2. Singletons, Factories, and Builders FREE CHAPTER 3. Recursion and Chasing your Own Tail 4. Lazy Sequences – Being Lazy, Being Good 5. Taming Multiple Inheritance with Traits 6. Currying Favors with Your Code 7. Of Visitors and Chains of Responsibilities 8. Traversals – Mapping/Filtering/Folding/Reducing 9. Higher Order Functions 10. Actors and Message Passing 11. It's a Paradigm Shift Index

Summary


Paradigm shift is a fundamentally alternate approach to program design. It invites us to think in radically different ways. Sorting, parsing, error handling, and concurrency have very different forms in Scala compared to Java.

Scala provides some stock sorting methods. We took a look at them and then came up against a problem of needless computation when sorting objects. The solution is the Schwartzian transform, a memorization technique. This is a Perl idiom, however, the idea is pretty general. We saw its Scala implementation.

Error handling is usually messy. The scheme of returning error codes always has the risk of us forgetting to check for errors. Exceptions are an improvement. Scala provides a nice solution so the error handling blends into the computation pipeline. We looked at the Try/Success/Failure family with an example.

We can use threads; however, Scala provides Futures and Promises. These are much easier to use when performing asynchronous computations. We can approach...

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