Java for Engineers and Scientists

Java for Engineers and Scientists
Author: Stephen J. Chapman
Publisher:
Total Pages: 600
Release: 2000
Genre: Computers
ISBN:


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Emphasizes the importance of going through a detailed design process before any code is written, using a top-down design technique to break the program up into logical portions. Reviews Java applications to illustrate all of the basic principles introduced in the book. Offers several packages containing classes of special importance to scientists and engineers.


Java for Engineers and Scientists
Language: en
Pages: 600
Authors: Stephen J. Chapman
Categories: Computers
Type: BOOK - Published: 2000 - Publisher:

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Emphasizes the importance of going through a detailed design process before any code is written, using a top-down design technique to break the program up into
Java for Engineers and Scientists
Language: en
Pages: 832
Authors: Gary J. Bronson
Categories: Computers
Type: BOOK - Published: 2003 - Publisher: Course Technology

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Featuring practical, engineering-oriented examples and applications, this text teaches the fundamentals of Java with a gradual refinement of programming skills
ESSENTIAL JAVA FOR SCIENTISTS AND ENGINEERS
Language: en
Pages: 356
Authors: Brian D. Hahn
Categories: Computers
Type: BOOK - Published: 2002-10 - Publisher: Butterworth-Heinemann

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This text serves as an introduction to the programming language Java for scientists and engineers, as well as experienced programmers wishing to learn Java as a
Introductory Java for Scientists and Engineers
Language: en
Pages: 322
Authors: Richard J. Davies
Categories: Computers
Type: BOOK - Published: 1999 - Publisher: Addison Wesley Publishing Company

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Java is currently enjoying immense success and is taught in hundreds of universities around the world. It is a modern, portable, object-oriented language and be
Data Science with Java
Language: en
Pages: 241
Authors: Michael R. Brzustowicz, PhD
Categories: Computers
Type: BOOK - Published: 2017-06-06 - Publisher: "O'Reilly Media, Inc."

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Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today’s data science application