Book Image

Learn Java 17 Programming - Second Edition

By : Nick Samoylov
4 (1)
Book Image

Learn Java 17 Programming - Second Edition

4 (1)
By: Nick Samoylov

Overview of this book

Java is one of the most preferred languages among developers. It is used in everything right from smartphones and game consoles to even supercomputers, and its new features simply add to the richness of the language. This book on Java programming begins by helping you learn how to install the Java Development Kit. You’ll then focus on understanding object-oriented programming (OOP), with exclusive insights into concepts such as abstraction, encapsulation, inheritance, and polymorphism, which will help you when programming for real-world apps. Next, you’ll cover fundamental programming structures of Java such as data structures and algorithms that will serve as the building blocks for your apps with the help of sample programs and practice examples. You’ll also delve into core programming topics that will assist you with error handling, debugging, and testing your apps. As you progress, you’ll move on to advanced topics such as Java libraries, database management, and network programming and also build a sample project to help you understand the applications of these concepts. By the end of this Java book, you’ll not only have become well-versed with Java 17 but also gained a perspective into the future of this language and have the skills to code efficiently with best practices.
Table of Contents (23 chapters)
1
Part 1: Overview of Java Programming
5
Part 2: Building Blocks of Java
15
Part 3: Advanced Java

Parallel versus concurrent processing

When we hear about working threads executing at the same time, we automatically assume that they literally do what they are programmed to do in parallel. Only after we look under the hood of such a system do we realize that such parallel processing is possible only when the threads are each executed by a different CPU; otherwise, they time-share the same processing power. We perceive them working at the same time only because the time slots they use are very short—a fraction of the time units we use in our everyday life. When threads share the same resource, in computer science, we say they do it concurrently.