Book Image

Learn Java with Projects

By : Dr. Seán Kennedy, Maaike van Putten
5 (3)
Book Image

Learn Java with Projects

5 (3)
By: Dr. Seán Kennedy, Maaike van Putten

Overview of this book

Learn Java with Projects stands out in the world of Java guides; while some books skim the surface and others get lost in too much detail, this one finds a nice middle ground. You’ll begin by exploring the fundamentals of Java, from its primitive data types through to loops and arrays. Next, you’ll move on to object-oriented programming (OOP), where you’ll get to grips with key topics such as classes, objects, encapsulation, inheritance, polymorphism, interfaces, and more. The chapters are designed in a way that focuses on topics that really matter in real-life work situations. No extra fluff here, so that you get more time to spend on the basics and form a solid foundation. As you make progress, you’ll learn advanced topics including generics, collections, lambda expressions, streams and concurrency. This book doesn't just talk about theory—it shows you how things work with little projects, which eventually add up to one big project that brings it all together. By the end of this Java book, you’ll have sound practical knowledge of Java and a helpful guide to walk you through the important parts of Java.
Table of Contents (22 chapters)
1
Part 1: Java Fundamentals
9
Part 2: Object-Oriented Programming
15
Part 3: Advanced Topics

Summary

Concurrency is a fundamental concept in modern software development, allowing applications to perform multiple tasks simultaneously, and efficiently utilizing system resources. In this chapter, we explored various aspects of concurrent programming in Java, from basic thread creation and management to advanced techniques for handling synchronization and shared data.

We started by introducing concurrency and its importance, followed by walking through creating threads using the Thread class, the Runnable interface, and implementing the Runnable interface with lambda expressions. We then moved on to two thread management methods: sleep() and join(). Next, we talked about ExecutorService, which provides a higher level of abstraction for managing thread execution and made our lives a little easier (after making it harder first).

A crucial aspect of concurrent programming is avoiding data races. We demonstrated a data race example and discussed strategies to resolve them, including...