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Java Projects

You're reading from   Java Projects Learn the fundamentals of Java 11 programming by building industry grade practical projects

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789131895
Length 524 pages
Edition 2nd Edition
Languages
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Author (1):
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Peter Verhas Peter Verhas
Author Profile Icon Peter Verhas
Peter Verhas
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Java 11 2. The First Real Java Program - Sorting Names FREE CHAPTER 3. Optimizing the Sort - Making Code Professional 4. Mastermind - Creating a Game 5. Extending the Game - Run Parallel, Run Faster 6. Making Our Game Professional - Do it as a Web App 7. Building a Commercial Web Application Using REST 8. Extending Our E-Commerce Application 9. Building an Accounting Application Using Reactive Programming 10. Finalizing Java Knowledge to a Professional Level 11. Other Books You May Enjoy

Preface

Java drastically changed with the introduction of Java 8, and this change has been elevated to a whole new level with the new version, Java 9 and then further with Java 10 and 11. Java has a well-established past, being more than 20 years old, but at the same time, it is new, functional, reactive, and sexy. This is a language that developers love, and at the same time, it is the number one choice of developer language for many enterprise projects.

It is probably more lucrative to learn Java now than ever before, starting with Java 11. We encourage you to start your professional developer career by learning Java, and we have done our best in this book to help you along this road. We assembled the topics of the book so that it is easy to start, and you can feel the things working and moving very quickly. At the same time, we have tried to reach very far, signaling the road ahead for a professional developer.

The sands of time kept moving, and I discovered functional programming.

I could very well see why writing side-effect-free code worked! I was hooked and started playing with Scala, Clojure, and Erlang. Immutability was the norm here. However, I wondered how traditional algorithms would look in a functional setting and started learning about it.

A data structure is never mutated in place. Instead, a new version of the data structure is created. The strategy of copy and write with maximized sharing was an intriguing one! All that careful synchronization is simply not needed! The languages come equipped with garbage collection. So, if a version is not needed anymore, the runtime would take care of reclaiming the memory. All in good time, though! Reading this book will help you see that we need not sacrifice algorithmic performance while avoiding in-place mutation!

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