Book Image

Learn Java 12 Programming

By : Nick Samoylov
Book Image

Learn Java 12 Programming

By: Nick Samoylov

Overview of this book

Java is one of the preferred languages among developers, 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 will then focus on understanding object-oriented programming (OOP), with exclusive insights into concepts like 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. You will 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, which will hone your skills in building professional-grade apps. Further on, you’ll understand how to create a graphic user interface using JavaFX and learn to build scalable apps by taking advantage of reactive and functional programming. By the end of this book, you’ll not only be well versed with Java 10, 11, and 12, but also gain a perspective into the future of this language and software development in general.
Table of Contents (25 chapters)
Free Chapter
1
Section 1: Overview of Java Programming
5
Section 2: Building Blocks of Java
15
Section 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 the 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 2-dimensional oval shapes called bubbles that allow presenting three parameters
  • ScatterChart: Presents the data points in a series as-is; useful to identify the presence of a clustering (data correlation...