Book Image

Hands-On Functional Programming with TypeScript

By : Remo H. Jansen
Book Image

Hands-On Functional Programming with TypeScript

By: Remo H. Jansen

Overview of this book

Functional programming is a powerful programming paradigm that can help you to write better code. However, learning functional programming can be complicated, and the existing literature is often too complex for beginners. This book is an approachable introduction to functional programming and reactive programming with TypeScript for readers without previous experience in functional programming with JavaScript, TypeScript , or any other programming language. The book will help you understand the pros, cons, and core principles of functional programming in TypeScript. It will explain higher order functions, referential transparency, functional composition, and monads with the help of effective code examples. Using TypeScript as a functional programming language, you’ll also be able to brush up on your knowledge of applying functional programming techniques, including currying, laziness, and immutability, to real-world scenarios. By the end of this book, you will be confident when it comes to using core functional and reactive programming techniques to help you build effective applications with TypeScript.

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Table of Contents (14 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Functional Programming Fundamentals
Functional Programming Fundamentals
Is TypeScript a functional programming language?
The benefits of functional programming
Introducing functional programming
Pure functions
side-effects
Referential transparency
Stateless versus stateful
Declarative versus imperative programming
Immutability
Functions as first-class citizens
Lambda expressions
Function arity
Higher-order functions
Laziness
Summary
2
Mastering Functions
Mastering Functions
Function types
Working with function parameters
Function scope and hoisting
Immediately-invoked functions
Tag functions and tagged templates
Summary
3
Mastering Asynchronous Programming
Mastering Asynchronous Programming
Callbacks and higher-order functions
Callback hell
Generators
Asynchronous functions – async and await
Summary
4
The Runtime – The Event Loop and the this Operator
The Runtime – The Event Loop and the this Operator
The environment
Understanding the event loop
The this operator
Summary
5
The Runtime – Closures and Prototypes
The Runtime – Closures and Prototypes
Prototypes
Closures
Summary
6
Functional Programming Techniques
Functional Programming Techniques
Composition techniques
Other techniques
Summary
7
Category Theory
Category Theory
Category theory
Functors
Summary
8
Immutability, Optics, and Laziness
Immutability, Optics, and Laziness
Immutability
Optics
Laziness
Summary
9
Functional-Reactive Programming
Functional-Reactive Programming
Reactive programming
Working with observables
Working with operators
Summary
10
Real-World Functional Programming
Real-World Functional Programming
Working with Ramda
Working with Immutable.js
Working with Immer
Working with Funfix
Summary
11
Functional Programming Learning Road Map
Functional Programming Learning Road Map
Beginner
Advanced beginner
Intermediate
Proficient
Expert
Summary
12
Directory of TypeScript Functional Programming Libraries
Directory of TypeScript Functional Programming Libraries
Functional programming
Category theory
Laziness
Immutability
Optics and lenses
Functional-reactive programming
Others
Summary
13
Other Books You May Enjoy
Other Books You May Enjoy
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Expert

To reach the expert level, you will need to master the following concepts and skills:

CONCEPTS

 SKILLS
  • High performance
  • Kind polymorphism
  • Generic programming
  • Type-level programming
  • Dependent-types, singleton types
  • Category theory
  • Graph reduction
  • Higher-order abstract syntax
  • Compiler design for functional languages
  • Profunctor optics
  • Design a generic, lawful library with broad appeal
  • Prove properties manually using equational reasoning
  • Design and implement a new functional programming language
  • Create novel abstractions with laws
  • Write distributed systems with certain guarantees
  • Use proof systems to formally prove properties of code
  • Create libraries that do not permit invalid states.
  • Use dependent typing to prove more properties at compile time
  • Understand deep relationships between different concepts
  • Profile, debug, and optimize purely functional code with minimal...
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