Introduction to Java Programming

Author: Y. Daniel Liang
Publisher: Prentice Hall, 2008
Pages: 1328
ISBN: 978-0136059660
Aimed at: Students on academic computer science courses
Rating: 4
Pros: Comprehensive treatment attractively produced
Cons: Does not cover modern IDEs or working with Windows.
Reviewed by: Mike James

This is a huge book and given that it has already reached its 7th edition it’s a successful book. As an academic book it has web-based resources for students (source code, answers to review questions and solutions to even numbered programming problems) and password protected ones for teachers (interactive and animated slides, full programming exercises. UML diagram solutions, quiz generator, LiveLab, and sample exams).

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It starts simply enough but you aren’t going to get very far unless you have already managed to make the transition to “programmer”. The order of introduction of topics isn’t particularly suitable for the complete beginner. Once we get beyond the basics of Java we quickly move on to how to implement sorting algorithms and other topics of academic importance - which of course make it an ideal, if somewhat heavy,  text book for a Java course.

It doesn’t cover using Java under Windows and it completely ignores the use of any modern IDEs such as Eclipse or JBuilder – everything is done using the standard command prompt compiler and this edition covers only standard classes.

It is extremely well produced and if you want an academic and very complete book on Java this is your best choice. If you are a complete beginner, want to use Java for fun or for producing specifically Windows oriented programs, then look elsewhere.

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Large-Scale C++, Volume I

Author: John Lakos
Publisher: Addison-Wesley
Pages: 988
ISBN: 978-0201717068
Print: 0201717069
Kindle: B0826523GZ
Audience: Programmers with plenty of time to spare
Rating: 3
Reviewer Mike James:
Large Scale C++, what can this mean?



Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Ed

Author: Rowel Atienza
Publisher: Packt Publishing
Date: February 2020
Pages: 512
ISBN: 978-1838821654
Print: 1838821651
Kindle: B0851D5YQQ
Audience: Developers wanting to master neural networks
Rating: 5
Reviewer: Mike James

There's a shortage of books on AI with "advanced" in the title and this one ha [ ... ]


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Last Updated ( Saturday, 02 October 2010 )