dc.contributor.author | Lee, Kent D. | en_US |
dc.contributor.author | Hubbard, Steve | en_US |
dc.date.accessioned | 2016-06-10T08:32:10Z | |
dc.date.available | 2016-06-10T08:32:10Z | |
dc.date.issued | 2015 | en_US |
dc.identifier.isbn | 978-3-319-13071-2 | en_US |
dc.identifier.isbn | 978-3-319-13072-9 | en_US |
dc.identifier.other | HPU1160105 | en_US |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/21156 | |
dc.description.abstract | This 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 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. | en_US |
dc.format.extent | 369 p. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartofseries | Undergraduate Topics in Computer Science | en_US |
dc.subject | Data structures | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Python | en_US |
dc.subject | Computer structure | en_US |
dc.title | Data structures and algorithms with Python | en_US |
dc.type | Book | en_US |
dc.size | 13,123KB | en_US |
dc.department | English resources | en_US |