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:
| ISBN: | 9783319130712 |
| Publication date: | 22nd January 2015 |
| Author: | Kent D Lee, Steve Hubbard |
| Publisher: | Springer International Publishing AG |
| Format: | Paperback |
| Pagination: | 363 pages |
| Series: | Undergraduate Topics in Computer Science |
| Genres: |
Databases Programming and scripting languages: general Algorithms and data structures Computer programming / software engineering |
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.
Data Structures and Algorithms with Python features in the following genres: Databases, Programming and scripting languages: general, Algorithms and data structures, Computer programming / software engineering
Paperback. Not Available.
Data Structures and Algorithms with Python was written by Kent D Lee, Steve Hubbard and published by Springer International Publishing AG
Data Structures and Algorithms with Python has 363 pages
Yes it is part of Undergraduate Topics in Computer Science series