Mastering Functional Programming: Functional techniques for sequential and parallel programming with Scala

Mastering Functional Programming: Functional techniques for sequential and parallel programming with Scala

by Anatolii Kmetiuk
Mastering Functional Programming: Functional techniques for sequential and parallel programming with Scala

Mastering Functional Programming: Functional techniques for sequential and parallel programming with Scala

by Anatolii Kmetiuk

eBook

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Overview

Functional programming is a paradigm specifically designed to deal with the complexity of software development in large projects. It helps developers to keep track of the interdependencies in the code base and changes in its state in runtime. Mastering Functional Programming provides detailed coverage of how to apply the right abstractions to reduce code complexity, so that it is easy to read and understand.
Complete with explanations of essential concepts, practical examples, and self-assessment questions, the book begins by covering the basics such as what lambdas are and how to write declarative code with the help of functions. It then moves on to concepts such as pure functions and type classes, the problems they aim to solve, and how to use them in real-world scenarios. You’ll also explore some of the more advanced patterns in the world of functional programming such as monad transformers and Tagless Final. In the concluding chapters, you’ll be introduced to the actor model, which you can implement in modern functional languages, and delve into parallel programming.
By the end of the book, you will be able to apply the concepts of functional programming and object-oriented programming (OOP)in order to build robust applications.


Product Details

ISBN-13: 9781788626033
Publisher: Packt Publishing
Publication date: 08/31/2018
Sold by: Barnes & Noble
Format: eBook
Pages: 380
File size: 15 MB
Note: This product may take a few minutes to download.

About the Author

Anatolii Kmetiuk is a Functional Programming and Data Science Freelance Developer. During his programming career, he has worked on Scala projects involving parallel computing, web APIs, SaaS, and data engineering. His areas of expertise include using applications of pure functional programming to build fault-tolerant, reactive systems, as well as parallel computing. Another area of his focus is machine learning and natural language processing.

Table of Contents

Table of Contents
  1. Declarative Programming Style
  2. Functions and Lambdas
  3. Functional Data Structures
  4. The Problem of Side Effects
  5. Effect Types: Abstracting Away Side Effects
  6. Effect Types in Practice
  7. The Idea of the Type Classes
  8. Basic Type Classes and Their Usage
  9. Libraries for Pure Functional Programming
  10. Patterns of Advanced Functional Programming
  11. Introduction to the Actor Model
  12. Actor Model in Practice
  13. Use Case: A Parallel Web Crawler
  14. Appendix: Introduction to Scala
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