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Learn Java 17 Programming

You're reading from   Learn Java 17 Programming Learn the fundamentals of Java Programming with this updated guide with the latest features

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781803241432
Length 748 pages
Edition 2nd Edition
Languages
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Author (1):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Overview of Java Programming
2. Chapter 1: Getting Started with Java 17 FREE CHAPTER 3. Chapter 2: Java Object-Oriented Programming (OOP) 4. Chapter 3: Java Fundamentals 5. Part 2: Building Blocks of Java
6. Chapter 4: Exception Handling 7. Chapter 5: Strings, Input/Output,and Files 8. Chapter 6: Data Structures, Generics, and Popular Utilities 9. Chapter 7: Java Standard and External Libraries 10. Chapter 8: Multithreading and Concurrent Processing 11. Chapter 9: JVM Structure and Garbage Collection 12. Chapter 10: Managing Data in a Database 13. Chapter 11: Network Programming 14. Chapter 12: Java GUI Programming 15. Part 3: Advanced Java
16. Chapter 13: Functional Programming 17. Chapter 14: Java Standard Streams 18. Chapter 15: Reactive Programming 19. Chapter 16: Java Microbenchmark Harness 20. Chapter 17: Best Practices for Writing High-Quality Code 21. Assessments 22. Other Books You May Enjoy

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...

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