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Learning Concurrency in Kotlin

You're reading from   Learning Concurrency in Kotlin Build highly efficient and scalable applications

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788627160
Length 266 pages
Edition 1st Edition
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Concepts
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Author (1):
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Miguel Angel Castiblanco Torres Miguel Angel Castiblanco Torres
Author Profile Icon Miguel Angel Castiblanco Torres
Miguel Angel Castiblanco Torres
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Table of Contents (11) Chapters Close

Preface 1. Hello, Concurrent World! 2. Coroutines in Action FREE CHAPTER 3. Life Cycle and Error Handling 4. Suspending Functions and the Coroutine Context 5. Iterators, Sequences, and Producers 6. Channels - Share Memory by Communicating 7. Thread Confinement, Actors, and Mutexes 8. Testing and Debugging Concurrent Code 9. The Internals of Concurrency in Kotlin 10. Other Books You May Enjoy

Suspending Fibonacci

The main topic of this chapter is data sources, so we will use a well-known sequence to get an implementation of suspending sequences and iterators: the famous Fibonacci sequence. I am sure that you have already written algorithms to calculate the Fibonacci sequence before, but this may be the first time that you will do so using suspending functions.

If you aren't familiar with it, the Fibonacci sequence is a sequence of numbers in which each number is the result of adding the previous two.

You can see the first eight numbers of the sequence in the following image:

The objective that we have, then, is to write a function that returns numbers from that sequence on demand, and stays suspended between calls. We will first do an implementation with a sequence and then do a similar implementation with an iterator.

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