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Mastering JavaScript Functional Programming

Mastering JavaScript Functional Programming

By : Federico Kereki
4.2 (6)
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Mastering JavaScript Functional Programming

Mastering JavaScript Functional Programming

4.2 (6)
By: Federico Kereki

Overview of this book

Functional programming is a paradigm for developing software with better performance. It helps you write concise and testable code. To help you take your programming skills to the next level, this comprehensive book will assist you in harnessing the capabilities of functional programming with JavaScript and writing highly maintainable and testable web and server apps using functional JavaScript. This second edition is updated and improved to cover features such as transducers, lenses, prisms and various other concepts to help you write efficient programs. By focusing on functional programming, you’ll not only start to write but also to test pure functions, and reduce side effects. The book also specifically allows you to discover techniques for simplifying code and applying recursion for loopless coding. Gradually, you’ll understand how to achieve immutability, implement design patterns, and work with data types for your application, before going on to learn functional reactive programming to handle complex events in your app. Finally, the book will take you through the design patterns that are relevant to functional programming. By the end of this book, you’ll have developed your JavaScript skills and have gained knowledge of the essential functional programming techniques to program effectively.
Table of Contents (17 chapters)
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1
Technical Requirements
14
Bibliography

Connecting Functions - Pipelining and Composition

In Chapter 7, Transforming Functions Currying and Partial Application, we looked at several ways we can build new functions by applying higher-order functions. In this chapter, we will go to the core of FP and learn how to create sequences of function calls and how to combine them to produce a more complex result out of several simpler components. To do this, we will cover the following topics:

  • Pipelining: A way to join functions together in a similar way to Unix/Linux pipes.
  • Chaining: This may be considered a variant of pipelining, but is restricted to objects.
  • Composing: This is a classic operation with its origins in basic computer theory.
  • Transducing: An optimized way to compose map/filter/reduce operations.

Along the way, we will be touching on related concepts, such as the following:

  • Pointfree style, which is...
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