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JavaTech is a practical introduction to the Java programming language with an emphasis on the features that benefit technical computing. After presenting the basics of object-oriented programming in Java, it examines introductory topics such as graphical interfaces and thread processes. It goes on to review network programming and develops Web client-server examples for tasks such as monitoring remote devices. The focus then shifts to distributed computing with RMI. Finally, it examines how Java programs can access the local platform and interact with hardware. Topics include combining native code with Java, communication via serial lines, and programming embedded processors. An extensive web site supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network applications and distributed computing applications. It will be used as a textbook for programming courses, and by researchers who need to learn Java for a particular task.
Book Synopsis JavaTech, an Introduction to Scientific and Technical Computing with Java by : Clark S. Lindsey
Download or read book JavaTech, an Introduction to Scientific and Technical Computing with Java written by Clark S. Lindsey and published by Cambridge University Press. This book was released on 2005-10-13 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: JavaTech is a practical introduction to the Java programming language with an emphasis on the features that benefit technical computing. After presenting the basics of object-oriented programming in Java, it examines introductory topics such as graphical interfaces and thread processes. It goes on to review network programming and develops Web client-server examples for tasks such as monitoring remote devices. The focus then shifts to distributed computing with RMI. Finally, it examines how Java programs can access the local platform and interact with hardware. Topics include combining native code with Java, communication via serial lines, and programming embedded processors. An extensive web site supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network applications and distributed computing applications. It will be used as a textbook for programming courses, and by researchers who need to learn Java for a particular task.
Book Synopsis Java Tech An Introduction to Scientific and Technical Computing with Java by : C.S. Lindsey
Download or read book Java Tech An Introduction to Scientific and Technical Computing with Java written by C.S. Lindsey and published by . This book was released on 2005 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt:
This book presents a focused and accessible primer on the fundamentals of Java programming, with extensive use of examples and hands-on exercises. Topics and features: provides an introduction to variables, input/output and arithmetic operations; describes objects and contour diagrams, explains selection structures, and demonstrates how iteration structures work; discusses object-oriented concepts such as overloading and classes methods, and introduces string variables and processing; illustrates arrays and array processing and examines recursion; explores inheritance and polymorphism and investigates elementary files; presents a primer on graphical input/output, discusses elementary exception processing, and presents the basics of Javadoc; includes exercises at the end of each chapter, with selected answers in an appendix and a glossary of key terms; provides additional supplementary information at an associated website.
Book Synopsis Guide to Java by : James T. Streib
Download or read book Guide to Java written by James T. Streib and published by Springer. This book was released on 2014-07-08 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a focused and accessible primer on the fundamentals of Java programming, with extensive use of examples and hands-on exercises. Topics and features: provides an introduction to variables, input/output and arithmetic operations; describes objects and contour diagrams, explains selection structures, and demonstrates how iteration structures work; discusses object-oriented concepts such as overloading and classes methods, and introduces string variables and processing; illustrates arrays and array processing and examines recursion; explores inheritance and polymorphism and investigates elementary files; presents a primer on graphical input/output, discusses elementary exception processing, and presents the basics of Javadoc; includes exercises at the end of each chapter, with selected answers in an appendix and a glossary of key terms; provides additional supplementary information at an associated website.
Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is For This book is for Java developers who are comfortable developing applications in Java. Those who now want to enter the world of data science or wish to build intelligent applications will find this book ideal. Aspiring data scientists will also find this book very helpful. What You Will Learn Understand the nature and key concepts used in the field of data science Grasp how data is collected, cleaned, and processed Become comfortable with key data analysis techniques See specialized analysis techniques centered on machine learning Master the effective visualization of your data Work with the Java APIs and techniques used to perform data analysis In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this book, we cover the important data science concepts and how they are supported by Java, as well as the often statistically challenging techniques, to provide you with an understanding of their purpose and application. The book starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. The next section examines the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. The final chapter illustrates an in-depth data science problem and provides a comprehensive, Java-based solution. Due to the nature of the topic, simple examples of techniques are presented early followed by a more detailed treatment later in the book. This permits a more natural introduction to the techniques and concepts presented in the book. Style and approach This book follows a tutorial approach, providing examples of each of the major concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.
Book Synopsis Java for Data Science by : Richard M. Reese
Download or read book Java for Data Science written by Richard M. Reese and published by Packt Publishing Ltd. This book was released on 2017-01-10 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is For This book is for Java developers who are comfortable developing applications in Java. Those who now want to enter the world of data science or wish to build intelligent applications will find this book ideal. Aspiring data scientists will also find this book very helpful. What You Will Learn Understand the nature and key concepts used in the field of data science Grasp how data is collected, cleaned, and processed Become comfortable with key data analysis techniques See specialized analysis techniques centered on machine learning Master the effective visualization of your data Work with the Java APIs and techniques used to perform data analysis In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this book, we cover the important data science concepts and how they are supported by Java, as well as the often statistically challenging techniques, to provide you with an understanding of their purpose and application. The book starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. The next section examines the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. The final chapter illustrates an in-depth data science problem and provides a comprehensive, Java-based solution. Due to the nature of the topic, simple examples of techniques are presented early followed by a more detailed treatment later in the book. This permits a more natural introduction to the techniques and concepts presented in the book. Style and approach This book follows a tutorial approach, providing examples of each of the major concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.
Introduction to Programming Using JAVA. 700 pages. The first programming course at Hobart and William Smith Colleges covers the Java programming language. Since 1996, the textbook for the course has been this Java textbook that was written for the course. The current version 2009 is Introduction to Programming Using Java, Version 5.0. It requires Java 5.0 or higher. It is an introduction to programming and also an introduction to Java directed towards people who do not have any background in programming, although it might also be useful for experienced programmers who want to learn something about Java. It is certainly not meant to provide complete coverage of the Java language. ABOUT THE AUTHOR: David J. Eck, Ph.D. in Mathematics (Brandeis University, 1980) is working as a teacher and instructor at the Department of Mathematics and Computer Science of the Hobart and William Smith Colleges.
Book Synopsis Programming by : David J. Eck
Download or read book Programming written by David J. Eck and published by CreateSpace. This book was released on 2009-03-25 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Programming Using JAVA. 700 pages. The first programming course at Hobart and William Smith Colleges covers the Java programming language. Since 1996, the textbook for the course has been this Java textbook that was written for the course. The current version 2009 is Introduction to Programming Using Java, Version 5.0. It requires Java 5.0 or higher. It is an introduction to programming and also an introduction to Java directed towards people who do not have any background in programming, although it might also be useful for experienced programmers who want to learn something about Java. It is certainly not meant to provide complete coverage of the Java language. ABOUT THE AUTHOR: David J. Eck, Ph.D. in Mathematics (Brandeis University, 1980) is working as a teacher and instructor at the Department of Mathematics and Computer Science of the Hobart and William Smith Colleges.
Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards The updated second edition of Think Java also features new chapters on polymorphism and data processing, as well as content covering changes through Java 12.
Book Synopsis Think Java by : Allen B. Downey
Download or read book Think Java written by Allen B. Downey and published by O'Reilly Media. This book was released on 2019-11-27 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards The updated second edition of Think Java also features new chapters on polymorphism and data processing, as well as content covering changes through Java 12.
This laboratory manual complements the Introduction toComputer Science: Java Programming textbook and classroom-related studies. The laboratory activities in this manual help develop the valuable skills needed to pursue a career in the computer science field as a Java programmer. Laboratory activities should be an essential part of your training. They link the concepts presented in the textbook to hands-on performance. You should not expect to learn Java programming skills only through the textbook, lectures, and demonstrations. The activities in the Introduction to Computer Science: Java Programming laboratory manual correlate to the textbook chapters. Each chapter has at least two laboratory activities, each of which begin with a brief overview of the activity. In some cases, this overview also sets up a scenario that will be used for the activity. Following the overview are learning goals. These are the objectives to meet by completing the activity.
Book Synopsis Introduction to Computer Science: Java Programming by : Julie A. Anderson
Download or read book Introduction to Computer Science: Java Programming written by Julie A. Anderson and published by Goodheart-Wilcox Publisher. This book was released on 2020-02-19 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This laboratory manual complements the Introduction toComputer Science: Java Programming textbook and classroom-related studies. The laboratory activities in this manual help develop the valuable skills needed to pursue a career in the computer science field as a Java programmer. Laboratory activities should be an essential part of your training. They link the concepts presented in the textbook to hands-on performance. You should not expect to learn Java programming skills only through the textbook, lectures, and demonstrations. The activities in the Introduction to Computer Science: Java Programming laboratory manual correlate to the textbook chapters. Each chapter has at least two laboratory activities, each of which begin with a brief overview of the activity. In some cases, this overview also sets up a scenario that will be used for the activity. Following the overview are learning goals. These are the objectives to meet by completing the activity.
Regardless of major, students will be able to grasp concepts of problem-solving and programming thanks to Liang's groundbreaking fundamentals-first approach, which enables students to understand problem solving and core constructs before object-oriented programming.
Book Synopsis Introduction to Java Programming by : Y. Daniel Liang
Download or read book Introduction to Java Programming written by Y. Daniel Liang and published by . This book was released on 2010-03-10 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regardless of major, students will be able to grasp concepts of problem-solving and programming thanks to Liang's groundbreaking fundamentals-first approach, which enables students to understand problem solving and core constructs before object-oriented programming.
Download or read book Java written by Walter J. Savitch and published by . This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Essential Java serves as an introduction to the programming language, Java, for scientists and engineers, and can also be used by experienced programmers wishing to learn Java as an additional language. The book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems. Many examples are included from a number of different scientific and engineering areas, as well as from business and everyday life. Pre-written packages of code are provided to help in such areas as input/output, matrix manipulation and scientific graphing. Takes a 'dive-in' approach, getting the reader writing and running programs immediately Teaches object-oriented programming for problem-solving in engineering and science
Book Synopsis Essential Java for Scientists and Engineers by : Brian H. Hahn
Download or read book Essential Java for Scientists and Engineers written by Brian H. Hahn and published by Elsevier. This book was released on 2002-05-30 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential Java serves as an introduction to the programming language, Java, for scientists and engineers, and can also be used by experienced programmers wishing to learn Java as an additional language. The book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems. Many examples are included from a number of different scientific and engineering areas, as well as from business and everyday life. Pre-written packages of code are provided to help in such areas as input/output, matrix manipulation and scientific graphing. Takes a 'dive-in' approach, getting the reader writing and running programs immediately Teaches object-oriented programming for problem-solving in engineering and science
