Back To Course Home

Using fp-ts for Functional Programming in TypeScript

0% completed

Introduction to Functional Programming

Before We Dive Deeper Why Functional Programming?Why JavaScript?Why TypeScript?Functional Programming with TypeScript Coding Challenge: Rewriting Function with Better Types Solution Review: Rewriting Function with Better Types Quiz on Types

Tidbits: Some Useful JavaScript and TypeScript

Setting Up TypeScript

Creating Functions in JavaScript

Backticks for Easy Printing

The Ternary Operator

Discriminating Unions

Summary: JavaScript and TypeScript Tidbits

Coding Challenge: Create Algebraic Data Type

Solution Review: Create Algebraic Data Type

Coding Challenge: Rewriting Code as an Expression

Solution Review: Rewriting Code as an Expression

Quiz: Tidbits of JavaScript and TypeScript

First Steps with Functional Programming

Introduction to Functional Programming Writing Functional Code Writing Functional Programs Currying Combining Currying and Composition Problems with Currying and Composition Monads Advantages of Monads Briefly about Types Summary: First Steps with Functional Programming Coding Challenge: Higher-Order Function Solution Review: Higher-Order Function Coding Challenge: Using Option in Function Solution Review: Using Option in Function Quiz: First Steps with Functional Programming

Our First Project: User Registration

Defining Our Types Validation with Either Before We Continue: Either or Validation?Creating our User with Lifting Bringing it Together Cope with Changing Business Requirements Summary: User Registration Project Coding Challenge: Adding a Check Solution Review: Adding a Check Coding Challenge: Working with Either and Pipe Solution Review: Working with Either and Pipe Quiz: User Registration Project

Deploying a Monitoring Application

AWS Lambda and SAM Setting Up Our Project Using the Cloudwatch SDK Monads for Asynchronous Behavior Transforming Our Data Synchronous Behavior and IO Bringing it All Together Extensions A Small Aside: Memoization Summary: Deploying a Monitoring Application Coding Challenge: Working with Flow Solution Review: Working with Flow Coding Challenge: Working with TaskEither Solution Review: Working with TaskEither Quiz: Deploying a Monitoring Application

Testing

The Types of Testing Test-Driven Development FP and Testing Property-based Testing Summary: Testing Coding Challenge: Writing a Parameterized Test Solution Review: Writing a Parameterized Test Quiz: Testing

Once More unto the Breach: Our Final Application

Setting Up the Environment of Our Final Application Writing Our First Create Lambda Code Core Logic of the Create Lambda Bringing it Together Creating the Retrieve Lambda DynamoDB Adding the Real Database Summary: Final Application Coding Challenge: Using Sequence in Function Solution Review: Using Sequence in Function Quiz: Testing

Expanding our Reservation Application

Using the Reader Monad to Gather Config Using State Better Error Types Restaurants and sequenceS Choosing Configs Exploring Some More Ideas Summary: Expanding our Reservation Application Coding Challenge: Using Reader Monad in Function Solution Review: Using Reader Monad in Function Quiz Yourself about Reservation Application

Rewriting an Application

The Original Application Evaluations Improvements Overview Our New Code Setup Validation Dealing with the Asynchronous Calls Advantages of Our Functional Approach Summary: Rewriting an Application Coding Challenge: Writing Function Using Switch Solution Review: Writing Function Using Switch Quiz Yourself on the Application

Advanced FP Techniques

Domain-Specific Language Tagless Final Free Monads Executable and Declarative Encoding and Algebraic Design Summary: Advanced FP Techniques Coding Challenge: Create a Mini DSL Solution Review: Create a Mini DSL Quiz Yourself on Advanced FP Techniques

Conclusion

Closing Thoughts

Appendix

Additional Concepts

Discriminating Unions

Learn how to indicate all of the possible values that a newly created type can represent.

We'll cover the following

Overview
Explanation

Overview

Algebraic data types (ADTs) in functional programming can be extremely useful. We’ll discuss them in detail later on. However, in TypeScript, we can use discriminating unions (also called tagged unions) to get sum typesA sum type is a data structure used to hold a value that could take on several different, but fixed, types.. These sum types are a category of ADTs, and creating them does require a bit of ceremony, though.

From TypeScript Handbook, we have the following example:

Get hands-on with 1200+ tech skills courses.