By Kent D. Lee, Steve Hubbard
This textbook explains the ideas and strategies required to write down courses which could deal with quite a lot of information successfully. Project-oriented and classroom-tested, the publication offers a few very important algorithms supported by means of examples that carry intending to the issues confronted through machine programmers. the assumption of computational complexity can also be brought, demonstrating what can and can't be computed successfully in order that the programmer could make trained decisions concerning the algorithms they use. good points: contains either introductory and complex facts constructions and algorithms subject matters, with recommended bankruptcy sequences for these respective classes supplied within the preface; presents studying objectives, evaluate questions and programming routines in each one bankruptcy, in addition to various illustrative examples; deals downloadable courses and supplementary records at an linked web site, with teacher fabrics on hand from the writer; provides a primer on Python for these from a special language background.
From the again Cover
This in actual fact based and simple to learn textbook explains the strategies and strategies required to jot down courses that could deal with quite a lot of information efficiently.
Project-oriented and classroom-tested, the e-book provides a couple of very important algorithms supported by means of motivating examples that carry desiring to the issues confronted by way of machine programmers. the belief of computational complexity can also be brought, demonstrating what can and can't be computed successfully in order that the programmer could make knowledgeable decisions concerning the algorithms they use. The textual content assumes a few simple event in desktop programming and familiarity in an object-oriented language, yet no longer inevitably with Python.
Topics and features:
Includes either introductory and complicated facts buildings and algorithms themes, with advised bankruptcy sequences for these respective classes supplied within the preface
Provides studying objectives, evaluate questions and programming routines in every one bankruptcy, in addition to a number of illustrative examples
Offers downloadable courses and supplementary records at an linked web site, with teacher fabrics to be had from the author
Presents a primer on Python for these coming from a special language background
Reviews using hashing in units and maps, besides an exam of binary seek bushes and tree traversals, and fabric on intensity first seek of graphs
Discusses subject matters compatible for a complicated direction, similar to club buildings, tons, balanced binary seek bushes, B-trees and heuristic search
Students of desktop technology will locate this transparent and concise textbook to be worthwhile for undergraduate classes on information buildings and algorithms, at either introductory and complex degrees. The e-book can also be compatible as a refresher advisor for computing device programmers beginning new jobs operating with Python.
About the Author
Dr. Kent D. Lee is Professor of desktop technology at Luther university, Decorah, Iowa, united states. he's the writer of the winning Springer textbook Python Programming basics and the coming near near Foundations of Programming Languages.
Dr. Steve Hubbard is Professor of arithmetic and laptop technological know-how at Luther collage.
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Additional info for Data Structures and Algorithms With Python
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