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Data Structures and Algorithms with Python: With an Introduction to Multiprocessing de Kent D. Lee

Data Structures and Algorithms with Python: With an Introduction to Multiprocessing: Undergraduate Topics in Computer Science

Autor Kent D. Lee, Steve Hubbard
en Limba Engleză Paperback – 25 ian 2024
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.
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Specificații

ISBN-13: 9783031422089
ISBN-10: 3031422082
Pagini: 398
Ilustrații: XVI, 398 p. 156 illus., 144 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.75 kg
Ediția:Second Edition 2024
Editura: Springer International Publishing
Colecția Springer
Seria Undergraduate Topics in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

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: sn.pub/extras