enchf

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

enchf

object MergeSort {

		// recursive merge of 2 sorted lists
	def merge(left: List[Int], right: List[Int]): List[Int] =
        (left, right) match {
	        case(left, Nil) => left
	        case(Nil, right) => right
	        case(leftHead :: leftTail, rightHead :: rightTail) =>
	          if (leftHead < rightHead) leftHead::merge(leftTail, right)
	          else rightHead :: merge(left, rightTail)

enchf

Introduction

At DICOM Grid, we recently made the decision to use Haskell for some of our newer projects, mostly small, independent web services. This isn't the first time I've had the opportunity to use Haskell at work - I had previously used Haskell to write tools to automate some processes like generation of documentation for TypeScript code - but this is the first time we will be deploying Haskell code into production.

Over the past few months, I have been working on two Haskell services:

• A reimplementation of an existing socket.io service, previously written for NodeJS using TypeScript.
• A new service, which would interact with third-party components using standard data formats from the medical industry.

I will write here mostly about the first project, since it is a self-contained project which provides a good example of the power of Haskell. Moreover, the proces