Java The Complete Reference Tenth Edition
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Java: The Complete Reference, Tenth Edition
Author: Herbert Schildt
language: en
Publisher: McGraw Hill Professional
Release Date: 2017-10-06
The Definitive Java Programming Guide Supplement for key JDK 10 new features available from book's Downloads & Resources page at OraclePressBooks.com. Fully updated for Java SE 9, Java: The Complete Reference, Tenth Edition explains how to develop, compile, debug, and run Java programs. Bestselling programming author Herb Schildt covers the entire Java language, including its syntax, keywords, and fundamental programming principles. You'll also find information on key portions of the Java API library, such as I/O, the Collections Framework, the stream library, and the concurrency utilities. Swing, JavaFX, JavaBeans, and servlets are examined and numerous examples demonstrate Java in action. Of course, the new module system added by Java SE 9 is discussed in detail. This Oracle Press resource also offers an introduction to JShell, Java’s new interactive programming tool. Coverage includes: •Data types, variables, arrays, and operators •Control statements •Classes, objects, and methods •Method overloading and overriding •Inheritance •Interfaces and packages •Exception handling •Multithreaded programming •Enumerations, autoboxing, and annotations •The I/O classes •Generics •Lambda expressions •Modules •String handling •The Collections Framework •Networking •Event handling •AWT •Swing and JavaFX •The Concurrent API •The Stream API •Regular expressions •JavaBeans •Servlets •Much, much more Code examples in the book are available for download at www.OraclePressBooks.com. TAG: For a complete list of Oracle Press titles, visit www.OraclePressBooks.com.
Java: A Beginner's Guide, Tenth Edition
Author: Herbert Schildt
language: en
Publisher: McGraw Hill Professional
Release Date: 2024-03-29
A hands-on introduction to Java programming—fully revised for the latest version, Java SE 21 Thoroughly updated for Java Platform Standard Edition 21, this practical resource uses a proven, step-by-step approach to teach the fundamentals of Java. You will discover how to get started programming in Java from the very first chapter. Written by Java guru Herbert Schildt and updated by Dr. Danny Coward, the book starts with the basics, such as how to create, compile, and run a Java program. From there, you will learn essential Java keywords, syntax, and commands. Java: A Beginner's Guide, Tenth Edition covers the basics and touches on advanced features, including multithreaded programming, generics, Lambda expressions, and Swing. Enumeration, modules, and interface methods are also clearly explained. This proven guide delivers the appropriate mix of theory and practical coding necessary to get readers up and running developing their own Java applications from the ground up or customize existing code. Clearly explains important changes from JDK 18 through long-term support (LTS) release JDK 21 Features self-tests, exercises, and downloadable code samples Written by bestselling author and leading Java authority Herbert Schildt along with Dr. Danny Coward, an experienced Java developer
Practical Java Machine Learning
Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services. Practical Java Machine Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualizationfor Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data. After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java. What You Will Learn Identify, organize, and architect the data required for ML projects Deploy ML solutions in conjunction with cloud providers such as Google and Amazon Determine which algorithm is the most appropriate for a specific ML problem Implement Java ML solutions on Android mobile devices Create Java ML solutions to work with sensor data Build Java streaming based solutions Who This Book Is For Experienced Java developers who have not implemented machine learning techniques before.