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.

 

<ASIN:0672337843>

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.

Visit Book Watch Archive for hundreds more titles.

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Banner
 


TinyML: Machine Learning with TensorFlow Lite

Authors: Pete Warden and Daniel Situnayake
Publisher: O'Reilly
Date: December 2019
Pages: 504
ISBN: 978-1492052043
Print: 1492052043
Kindle: B082TY3SX7
Audience: Developers interested in machine learning
Rating: 5, but see reservations
Reviewer: Harry Fairhead
Can such small machines really do ML?



Geometrical Vectors

Author: Gabriel Weinreich
Publisher: University of Chicago Press
Pages: 126
ISBN: 978-0226890487
Print: 0226890481
Kindle: B01EYG40HO
Audience: Mathematicians, physicists and engineers.
Rating: 5
Reviewer: Mike James
Geometrical Vectors - are there any other kind?


More Reviews