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

Charts

JavaFX provides the following chart components for data visualization in the javafx.scene.chart package:

  • LineChart: Adds a line between the data points in a series. Typically used to present the trends over time.
  • AreaChart: Similar to LineChart, but fills the area between the line that connects the data points and the axis. Typically used for comparing cumulated totals over time.
  • BarChart: Presents data as rectangular bars. Used for visualization of discrete data.
  • PieChart: Presents a circle divided into segments (filled with different colors), each segment representing a value as a proportion of the total. We will demonstrate it in this section.
  • BubbleChart: Presents data as two-dimensional oval shapes called bubbles, which allow presenting three parameters.
  • ScatterChart: Presents the data points in a series as is. Useful to identify the presence of a clustering (data correlation).

The following example (the start3() method of the HellowWorld...