| 书目名称 | Data Structures and Algorithms with Python |
| 编辑 | Kent D. Lee,Steve Hubbard |
| 视频video | |
| 概述 | Includes broad coverage of both introductory and advanced data structures topics, supported by examples.Guides the reader through the concepts of computational complexity, from the basics to amortized |
| 丛书名称 | Undergraduate Topics in Computer Science |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Textbook 20151st edition |
| 关键词 | Algorithms; Computational Complexity; Data Structures; Programming; Python; algorithm analysis and proble |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-13072-9 |
| isbn_ebook | 978-3-319-13072-9Series ISSN 1863-7310 Series E-ISSN 2197-1781 |
| issn_series | 1863-7310 |
| copyright | Springer Nature Switzerland AG 2015 |
发表于 2025-3-21 18:31:14
