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dc.contributor.authorLee, Kent D.en_US
dc.contributor.authorHubbard, Steveen_US
dc.date.accessioned2020-08-05T07:12:45Z
dc.date.available2020-08-05T07:12:45Z
dc.date.issued2015en_US
dc.identifier.isbn978-3-319-13071-2en_US
dc.identifier.isbn978-3-319-13072-9en_US
dc.identifier.otherHPU2164622en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/33701
dc.description.abstractThis clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. The text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python.en_US
dc.format.extent369p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectAlgorithmsen_US
dc.subjectData Structuresen_US
dc.subjectProgrammingen_US
dc.subjectPythonen_US
dc.titleData Structures and Algorithms with Pythonen_US
dc.typeBooken_US
dc.size8,79 MBen_US
dc.departmentTechnologyen_US


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