java in a nutshell a desktop quick reference for java programmers nutshell handbooks

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Java In A Nutshell

Author : David Flanagan
ISBN : 0596007736
Genre : Computers
File Size : 34. 75 MB
Format : PDF
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Aimed for programmers, offers an introduction to Java 5.0, covering topics such as generics, enumerated type, autoboxing, and static imports.

Java In A Nutshell

Author : David Flanagan
ISBN : 0596002831
Genre : Computers
File Size : 24. 85 MB
Format : PDF, Mobi
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Aimed for programmers, offers an accelerated introduction to the 1.4 release of Java 2 Standard edition covering topics such as syntax, object-oriented features, and Java development tools.

Java Foundation Classes In A Nutshell

Author : David Flanagan
ISBN : 1565924886
Genre : Computers
File Size : 23. 42 MB
Format : PDF, ePub
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Intended for Java programmers writing applications or applets involving graphics or graphical user interfaces and is a companion to the book entitled, "Java in a Nutshell, 3rd ed."

Java Enterprise In A Nutshell

Author : Jim Farley
ISBN : 0596001525
Genre : Computers
File Size : 54. 35 MB
Format : PDF, Mobi
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A tutorial and reference to Java-based APIs for application software development covers RMI, IDL, JAXP, JNDI, Java Servlets, and J2EE 1.3.

Practical C Programming

Author : Steve Oualline
ISBN : 0596004192
Genre : Computers
File Size : 42. 54 MB
Format : PDF, ePub, Docs
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Teaches the programming language, covering topics including syntax, coding standards, object classes, templates, debugging, and the C++ preprocessor.

Jini In A Nutshell

Author : Scott Oaks
ISBN : 1565927591
Genre : Computers
File Size : 64. 41 MB
Format : PDF, Kindle
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A comprehensive guide to Jini--the set of Java classes and services allowing seamless interaction between network devices and services--covers setting up the programming environment, basic and advanced programming, utlities, and system security

R In A Nutshell

Author : Joseph Adler
ISBN : 9781449312084
Genre : Computers
File Size : 72. 50 MB
Format : PDF, ePub, Docs
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"R in a Nutshell" provides a quick and practical way to learn this increasingly popular open source language and environment. Readers will not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.

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