Professional Clojure

Professional Clojure

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Clear, practical Clojure for the professional programmer

Professional Clojure is the experienced developer's guide to functional programming using the Clojure language. Designed specifically to meet the needs of professional developers, this book briefly introduces functional programming before skipping directly to the heart of using Clojure in a real-world setting. The discussion details the read—eval—print workflow that enables fast feedback loops, then dives into enterprise-level Clojure development with expert guidance on web services, testing, datomics, performance, and more. Read from beginning to end, this book serves as a clear, direct guide to Clojure programming—but the comprehensive coverage and detail makes it extraordinarily useful as a quick reference for mid-project snags. The author team includes four professional Clojure developers, ensuring professional-level instruction from a highly practical perspective.

Clojure is an open-source programming language maintained and supported by Cognitect., and quickly gaining use across industries at companies like Amazon, Walmart, Facebook, Netflix, and more. This guide provides a concise, yet thorough resource for professional developers needing to quickly put Clojure to work.

  • Parse the difference between functional and object-oriented programming
  • Understand Clojure performance and capabilities
  • Develop reactive web pages using ClojureScript
  • Adopt an REPL-driven development workflow

Clojure is a modern dialect of Lisp, designed for concurrency and Java compatibility. It can be used with the Java virtual machine, Microsoft's Common Language Runtime, and JavaScript engines, providing a level of both versatility and functionality that is appealing to more and more enterprise-level developers. As requirements grow increasingly complex, stepping away from imperative programming can dramatically streamline the development workflow. Professional Clojure provides the expert instruction that gets professionals up to speed and back to work quickly.

Product Details

ISBN-13: 9781119267294
Publisher: Wiley
Publication date: 05/25/2016
Sold by: Barnes & Noble
Format: NOOK Book
Pages: 264
File size: 3 MB

About the Author

About the authors

Jeremy Anderson is a Developer at Code Adept, and a Clojure contributor.

Michael Gaare is the platform technical lead at Nextangles, a financial technology startup.

Justin Holguín is a software engineer at Puppet Labs, where he specializes in Clojure backend services.

Nick Bailey is a Clojure enthusiast and the maintainer of the Clojure java.jmx library. He is a software architect at DataStax.

Timothy Pratley is a Clojure contributor at Outpace Systems, Inc.

Visit us at where you have access to free code samples, Programmer to Programmer forums, and discussions on the latest happenings in the industry from around the world.

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Table of Contents



Functional Thinking 2

Value Oriented 2

Thinking Recursively 5

Higher Order Functions 8

Embracing Laziness 11

When You Really Do Need to Mutate 12

Nil Punning 15

The Functional Web 16

Doing Object-Oriented Better 16

Polymorphic Dispatch with defmulti 18

Defining Types with deftype and defrecord 20

Protocols 21

Reify 22

Persistent Data Structures 23

Shaping the Language 27

Summary 29


REPL-Driven Development 32

Basic REPL Usage with Leiningen 32

Remote REPLs with nREPL 34

REPL Usage with a Real Application 35

Connecting Your Editor to a REPL 39

Reloading Code 40

Reloading Code from the REPL 40

Automatically Reloading Code 43

Writing Reloadable Code 49

Summary 51


Project Overview 53

Namespace Layout 54

Elements of a Web Service 55

Libraries, Not Frameworks 55


Routing 64

JSON Endpoints 70

Example Service 74

Create the Project 75

Additional Namespaces 75

Default Middleware 77

The Storage Protocol 78

Handlers 83

Middleware 88

Routes 89

Deployment 94

Using Leiningen 94

Compiling an Uberjar or Uberwar 95

Hosting 96

Summary 97


Testing Basics with clojure.test 100

with-test 101

deftest 101

are 102

Using Fixtures 103

Testing Strategies 104

Tests Against DB 104

Testing Ring Handlers 106

Mocking/Stubbing Using with-redefs 108

Redefining Dynamic Vars 110

Record/Replay with VCR 111

Measuring Code Quality 112

Code Coverage with Cloverage 112

Static Analysis with kibit and bikeshed 114

Keeping Dependencies Under Control 116

Testing Framework Alternatives 119

Expectations 119

Speclj 119

Cucumber 120

Kerodon 126

Summary 127


ClojureScript Is a Big Deal 129

A First Brush with ClojureScript 131

Starting a New ClojureScript Project 132

Getting Fast Feedback with Figwheel 132

Creating Components 134

Modeling the Data 135

Responding to Events and Handling State Change 136

Understanding Errors and Warnings 137

Namespace Layout 141

Styling 141

Form Inputs and Form Handling 142

Navigation and Routes 145

HTTP Calls: Talking to a Server 147

Drag and Drop 149

Publishing 150

Reagent in Depth 151

Form 1: A Function That Returns a Vector 151

Form 2: A Function That Returns a Component 152

Form 3: A Function That Returns a Class 153

Sequences and Keys 154

Custom Markup 155

Reactions 156

A Note on Style 158

Testing Components with Devcards 159

Interop with JavaScript 162

One Language, One Idiom, Many Platforms 164

Things to Know About the Closure Compiler and Library 164

Modeling State with DataScript 165

Go Routines in Your Browser with core.async 166

Summary 167


Datomic Basics 170

Why Datomic? 170

The Datomic Data Model 172

Querying 175

Transactions 181

Indexes Really Tie Your Data Together 183

Datomic’s Unique Architecture 187

Modeling Application Data 188

Example Schema for Task Tracker App 188

Entity ids and Partitions 196

Datomic’s Clojure API 197

Basic Setup 197

Experimenting in the REPL 200

Building Applications with Datomic 206

User Functions 206

Account Functions 209

Task Functions 210

Deployment 213

The Limitations 214

Summary 215


What Is Performance? 219

Choosing the Right Data Structure Is a Prerequisite for Performance 219

Benchmarking 221

Timing Slow Things 221

Use Criterium for Timing Fast Things 223

Use Test Selectors for Performance Tests 225

Parallelism 225

Memoization 226

Inlining 227

Persistent Data Structures 228

Safe Mutation with Transients 228

Profi ling 229

Avoiding Reflection with Type Hinting 230

Java Flags 232

Math 232

Summary 232


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