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Java Projects

Java Projects

By : Peter Verhas
1.9 (9)
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Java Projects

Java Projects

1.9 (9)
By: Peter Verhas

Overview of this book

Java is one of the most commonly used software languages by programmers and developers. In this book, you’ll learn the new features of Java 11 quickly and experience a simple and powerful approach to software development. You’ll see how to use the Java runtime tools, understand the Java environment, and create a simple namesorting Java application. Further on, you'll learn about advanced technologies that Java delivers, such as web programming and parallel computing, and will develop a mastermind game. Moving on, we provide more simple examples, to build a foundation before diving into some complex data structure problems that will solidify your Java 11 skills. With a special focus on the features of new projects: Project Valhalla, Project Panama, Project Amber, and Project Loom, this book will help you get employed as a top-notch Java developer. By the end of the book, you’ll have a firm foundation to continue your journey toward becoming a professional Java developer.
Table of Contents (12 chapters)
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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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