Introduction to Programming in Java, 2nd Ed (Addison-Wesley)
Monday, 08 May 2017

This example-driven guide focuses on Java’s most useful features and sets out to bring programming to life for every student in the sciences, engineering, and computer science. Robert Sedgewick and Kevin Wayne provide an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems.

 

The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages.

Authors:  Robert Sedgewick & Kevin Wayne
Publisher: Addison Wesley
Date: March 2017
Pages: 784
ISBN:978-0672337840
Print: 0672337843
Category: Python
Level: Beginners. Student in sciences, engineering, and computer science.

Coverage includes

 

  • Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound
  • Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused
  • Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables
  • Applications from applied math, physics, chemistry, biology, and computer science

 

Drawing on their extensive classroom experience, throughout the text the authors provide Q&As, exercises, and opportunities for creative engagement with the material. 

Companion web site (introcs.cs.princeton.edu/java) contains

 

  • Chapter summaries
  • Supplementary exercises, some with solutions
  • Detailed instructions for installing a Java programming environment
  • Program code and test data suitable for easy download
  • Detailed creative exercises, projects, and other supplementary materials

See our review of Introduction to Programming in Python from the same authors.

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Deep Learning (No Starch Press)

Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
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Author: David Keyes
Publisher: No Starch Press
Date: June 2024
Pages: 256
ISBN: 978-1718503328
Print: 1718503326
Kindle: B0CD3GV46N
Audience: Beginners interested in R
Rating: 3
Reviewer: Mike James
Well I'm certainly the "rest of us" - what about you?


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