Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Hands-On Reactive Programming with Clojure
  • Toc
  • feedback
Hands-On Reactive Programming with Clojure

Hands-On Reactive Programming with Clojure

By : Konrad Szydlo , Leonardo Borges
close
Hands-On Reactive Programming with Clojure

Hands-On Reactive Programming with Clojure

By: Konrad Szydlo , Leonardo Borges

Overview of this book

Reactive Programming is central to many concurrent systems, and can help make the process of developing highly concurrent, event-driven, and asynchronous applications simpler and less error-prone. This book will allow you to explore Reactive Programming in Clojure 1.9 and help you get to grips with some of its new features such as transducers, reader conditionals, additional string functions, direct linking, and socket servers. Hands-On Reactive Programming with Clojure starts by introducing you to Functional Reactive Programming (FRP) and its formulations, as well as showing you how it inspired Compositional Event Systems (CES). It then guides you in understanding Reactive Programming as well as learning how to develop your ability to work with time-varying values thanks to examples of reactive applications implemented in different frameworks. You'll also gain insight into some interesting Reactive design patterns such as the simple component, circuit breaker, request-response, and multiple-master replication. Finally, the book introduces microservices-based architecture in Clojure and closes with examples of unit testing frameworks. By the end of the book, you will have gained all the knowledge you need to create applications using different Reactive Programming approaches.
Table of Contents (15 chapters)
close

Finding the average of ages

In this section, we will explore a different use case for the option functor. We would like to, given a number of pirates, calculate the average of their ages. This is simple enough to do:

(defn avg [& xs] 
  (float (/ (apply + xs) (count xs)))) 
 
(let [a (some-> (pirate-by-name "Jack Sparrow") age) 
      b (some-> (pirate-by-name "Blackbeard") age) 
      c (some-> (pirate-by-name "Hector Barbossa") age)] 
  (avg a b c)) ;; 56.666668 

Note that we are using some-> here, to protect us from nil values. Now, what happens if there is a pirate for which we have no information? Consider the following code snippet:

(let [a (some-> (pirate-by-name "Jack Sparrow") age) 
      b (some-> (pirate-by-name "Davy Jones") age) 
      c (some-> (pirate-by-name "Hector Barbossa")...
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete