Data Structures and Algorithms with Python
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 progra...
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Springer
2015
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oai:scholar.dlu.edu.vn:DLU123456789-578962023-11-11T05:56:21Z Data Structures and Algorithms with Python Lee, Kent D Hubbard, Steve Data structures Computer science Computer algorithms 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. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background. 2015-09-01T02:22:21Z 2015-09-01T02:22:21Z 2015 Book 978-3-319-13072-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57896 en application/pdf Springer |
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Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
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English |
topic |
Data structures Computer science Computer algorithms |
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Data structures Computer science Computer algorithms Lee, Kent D Hubbard, Steve Data Structures and Algorithms with Python |
description |
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. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background. |
format |
Book |
author |
Lee, Kent D Hubbard, Steve |
author_facet |
Lee, Kent D Hubbard, Steve |
author_sort |
Lee, Kent D |
title |
Data Structures and Algorithms with Python |
title_short |
Data Structures and Algorithms with Python |
title_full |
Data Structures and Algorithms with Python |
title_fullStr |
Data Structures and Algorithms with Python |
title_full_unstemmed |
Data Structures and Algorithms with Python |
title_sort |
data structures and algorithms with python |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57896 |
_version_ |
1819807560418459648 |