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Introduction to Computing Using Python: An Application Development Focus
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Ljubomir Perkovic
Introduction to Computing Using Python: An Application Development Focus by Ljubomir Perkovic at Abbey's Bookshop,

Introduction to Computing Using Python: An Application Development Focus

Ljubomir Perkovic


John Wiley & Sons Ltd

Investment & securities;
Computer networking & communications


512 pages

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Perkovic's Introduction to Programming Using Python is more than just an introduction to programming. It is an inclusive introduction to Computer Science that takes the pedagogical approach of the right tool for the job at the right moment, and focuses on application development. The approach is hands-on and problem-oriented, with practice problems and solutions appearing throughout the text. The text is imperative-first, but does not shy away from discussing objects early where appropriate. Discussions of user-defined classes and Object-Oriented Programming appear later in the text, when students have more background and concepts can be motivated. Chapters include an introduction to problem solving techniques and classical algorithms, problem-solving and programming and ways to apply core skills to application development.

Meet the author here:

By:   Ljubomir Perkovic
Imprint:   John Wiley & Sons Ltd
Country of Publication:   United Kingdom
Dimensions:   Height: 253mm,  Width: 204mm,  Spine: 17mm
Weight:   889g
ISBN:   9780470618462
ISBN 10:   0470618469
Pages:   512
Publication Date:   December 2011
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Ljubomir Perkovic joined the CDM School of Computing faculty in September of 2000, after two years on the faculty of the Mathematics and Computer Science department at Drexel University in Philadelphia. Dr. Perkovic obtained his Ph.D. in Algorithms, Combinatorics and Optimization at the School of Computer Science at Carnegie Mellon University, and he holds a B.A. degree in Mathematics and Computer Science from Hunter College of the City University of New York. His research interests include distributed and wireless computing, computational geometry, graph theory and algorithms, probabilistic analysis of algorithms, and computational thinking. He is Co-PI on an NSF funded project to expand Computational Thinking across the Liberal Studies curriculum. He is also the coach of the DePaul Programming teams.

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