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

Best design practices

The term best is often subjective and context-dependent. That is why we would like to disclose that the following recommendations are based on the vast majority of cases in mainstream programming. However, they should not be followed blindly and unconditionally because there are cases when some of these practices, in some contexts, are useless or even wrong. Before following them, try to understand the motivation behind them and use it as a guide for your decisions. For example, size matters. If the application is not going to grow beyond a few thousand lines of code, a simple monolith with laundry-list-style code is good enough. But if there are complicated pockets of code and several people working on it, breaking the code into specialized pieces would be beneficial for code understanding, maintenance, and even scaling, if one particular code area requires more resources than others.

We will start with higher-level design decisions in no particular order...