Data Structures and Algorithms with Python

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Sprache: Englisch

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Beschreibung

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 motivating examples¿that bring meaning to the problems faced by computer programmers. The idea of computational complexity is introduced, demonstrating what can and cannot be computed efficiently at scale, helping programmers make informed judgements about the algorithms they use. The easy-to-read text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python.
Topics and features:
Includes introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses
Provides learning goals, review questions, and programming exercises in each chapter, as well as numerous examples
Presents a primer on Python for those coming from a different language background
Adds a new chapter on multiprocessing with Python using the DragonHPC multinode implementation of multiprocessing (includes a tutorial)
Reviews the use of hashing in sets and maps, and examines binary search trees, tree traversals, and select graph algorithms
Offers downloadable programs and supplementary files at an associated website to help students

Students of computer science will find this clear and concise textbook invaluable for undergraduate courses on data structures and algorithms, at both introductory and advanced levels. The book is also suitable as a refresher guide for computer programmers starting new jobs working with Python.

Dr. Kent D. Lee is a Professor Emeritus of Computer Science at Luther College, Decorah, Iowa, USA. He is the author of the successful Springer books, Python Programming Fundamentals, and Foundations of Programming Languages.
Dr. Steve Hubbard is a Professor Emeritus of Mathematics and Computer Science at Luther College.

Über den Autor

Dr. Kent D. Lee is a Professor Emeritus of Computer Science at Luther College, Decorah, Iowa, USA. He now works for Hewlett Packard Enterprise as an Engineer and Architect on the DragonHPC project within the High Performance Computing division (formerly Cray, Inc.). He is the author of the successful introductory companion textbook from Springer, Python Programming Fundamentals, and the Foundations of Programming Languages - an excellent textbook on compiler and interpreter implementation.

Dr. Steve Hubbard is a Professor Emeritus of Mathematics and Computer Science at Luther College.

Zusammenfassung

Includes broad coverage of both introductory and advanced data structures topics, supported by examples

Makes learning fun, using the development of graphical user interface programs to illustrate concepts

Includes supplementary material: [...]

Inhaltsverzeichnis

1. Python Programming 101.- 2. Computational Complexity.- 3. Recursion.- 4. Sequences.- 5. Sets and Maps.- 6. Trees.- 7. Graphs.- 8. Membership Structures.- 9. Heaps.- 10. Balanced Binary Search Trees.- 11. B-Trees.- 12. Heuristic Search.

Details

Erscheinungsjahr:	2024
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	416
Reihe:	Undergraduate Topics in Computer Science
Inhalt:	xvi 398 S. 12 s/w Illustr. 144 farbige Illustr. 398 p. 156 illus. 144 illus. in color.
ISBN-13:	9783031422089
ISBN-10:	3031422082
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Hubbard, Steve Lee, Kent D.
Auflage:	2nd ed. 2024
Hersteller:	Springer International Publishing Springer International Publishing AG Undergraduate Topics in Computer Science
Maße:	235 x 155 x 21 mm
Von/Mit:	Steve Hubbard (u. a.)
Erscheinungsdatum:	25.01.2024
Gewicht:	0,703 kg

preigu-id: 127335821