9781491948927-1491948922-Algorithms in a Nutshell: A Practical Guide

Algorithms in a Nutshell: A Practical Guide

ISBN-13: 9781491948927
ISBN-10: 1491948922
Edition: 2
Author: George Heineman, Gary Pollice, Stanley Selkow
Publication date: 2016
Publisher: O'Reilly Media
Format: Paperback 387 pages
FREE US shipping on ALL non-marketplace orders
Marketplace
from $8.95 USD
Buy

From $8.95

Book details

ISBN-13: 9781491948927
ISBN-10: 1491948922
Edition: 2
Author: George Heineman, Gary Pollice, Stanley Selkow
Publication date: 2016
Publisher: O'Reilly Media
Format: Paperback 387 pages

Summary

Algorithms in a Nutshell: A Practical Guide (ISBN-13: 9781491948927 and ISBN-10: 1491948922), written by authors George Heineman, Gary Pollice, Stanley Selkow, was published by O'Reilly Media in 2016. With an overall rating of 4.3 stars, it's a notable title among other Algorithms (Programming, Microsoft Programming, Java, Programming Languages) books. You can easily purchase or rent Algorithms in a Nutshell: A Practical Guide (Paperback, Used) from BooksRun, along with many other new and used Algorithms books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.88.

Description

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance.

With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate.

With this book, you will:

  • Solve a particular coding problem or improve on the performance of an existing solution
  • Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use
  • Get algorithmic solutions in C, C++, Java, and Python with implementation tips
  • Learn the expected performance of an algorithm, and the conditions it needs to perform at its best
  • Discover the impact that similar design decisions have on different algorithms
  • Learn advanced data structures to improve the efficiency of algorithms
Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book