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Data abstraction and problem solving with C++ : walls and mirors
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ISBN: 0321269802 9780321269805 Year: 2005 Publisher: Boston, Mass. Addison-Wesley

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The classic, best-selling Data Abstraction and Problem Solving with C++: Walls and Mirrors has been revised to cover the latest features of the C++ programming language. Upholding the benchmark set by previous editions, the text provides a firm foundation in data abstraction that emphasizes the distinction between specification and implementation as the basis for an object-oriented approach. Professor Frank Carrano continues with his consistently lucid writing style in this edition. Students benefit from this widespread use of examples, as well as his flexible coverage of important topics such as recursion and inheritance/


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A common-sense guide to data structures and algorithms : level up your core programming skills
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ISBN: 9781680507225 Year: 2020 Publisher: Raleigh, N.C. The Pragmatic Bookshelf

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Voortgezet programmeren: het ontwerpen van datastructuren en algoritmen
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ISBN: 9062332366 Year: 1986 Publisher: Schoonhoven Academic Service

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Algoritmen en datastructuren.
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ISBN: 9062333907 Year: 1986 Publisher: Schoonhoven Academic service

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Analyzing data with Microsoft Power BI and Power Pivot for Excel
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ISBN: 9781509302765 Year: 2017 Publisher: Redmond, Wash. Microsoft Press

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Data structures and algorithms in Java
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ISBN: 9780672324536 Year: 2003 Publisher: Indianapolis, Ind. Sams

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Datastructuren in Java
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ISBN: 9789039525340 Year: 2008 Publisher: Den Haag Academic Service

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Moving up to the modeling level for the transformation of data structures in embedded mulltimedia applications
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Year: 2005 Publisher: Hoboken KDG.IWT

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Problem solving with algorithms and data structures using Python
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ISBN: 9781590282571 1590282574 Year: 2011 Publisher: Sherwood, Or. : Franklin, Beedle & Associates,

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This textbook is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter.

MATLAB for engineering applications
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ISBN: 0070473307 Year: 1999 Publisher: Boston McGraw-Hill

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