scala-platform.tar.gz

Scala-Pure

Scala-Impure

Scala-Tapir

Scala-Impure-Test

Scala-Pure-Test

Scala-Tapir-Test

Test

Scala - Run Code Widget 

Scala-Pure-copy

Scala is one of the most popular general-purpose languages that supports both object-oriented and functional programming. In this course, you will learn how to create back-end HTTP services using Scala's functional programming paradigm.

You will also learn how to develop, test, and document the service using both pure and impure ways. You will be exposed to the differences between pure and impure implementation, their respective pros and cons, and how pure implementation can be more robust in terms of performance, understandability, testability, and type safeness. 

By the end of the course, you will have a clear idea of how functional programming works in Scala and how you can use the available tools more effectively.

Pure Functional HTTP APIs in Scala

## Data generation

We will start by writing some #key# data generators: A test data generator is a specialized software tool that generates false or mock data for use in testing software applications. #key# using the *ScalaCheck* library. 

*ScalaCheck* already provides several generators for primitives, but for the data models, we have to do some more plumbing. 

# Data generation

We will start by writing some #key# data generators: A test data generator is a specialized software tool that generates false or mock data for use in testing software applications. #key# using the *ScalaCheck* library. 

*ScalaCheck* already provides several generators for primitives, but for the data models, we have to do some more plumbing. 

Learn how to implement data generators to employ in our tests.

Introduction

Impure Implementation

Pure Implementation

Testing Impure Services

Testing Pure Services

Benchmarks

Documentation

Epilogue

Generators

Data generation