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Data Structures and Algorithms With Python: With an Introduction to Multiprocessing - Couverture souple
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Data Structures and Algorithms with Python
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Data Structures and Algorithms with Python : With an Introduction to Multiprocessing
ISBN 10 : 3031422082
ISBN 13 : 9783031422089
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 coursesProvides learning goals, review questions, and programming exercises in each chapter, as well as numerous examplesPresents a primer on Python for those coming from a different language backgroundAdds a new chapter on multiprocessing with Python using the DragonHPCmultinodeimplementation of multiprocessing (includes a tutorial)Reviews the use of hashing in sets and maps, and examines binary search trees, tree traversals, and select graph algorithmsOffersdownloadable programs and supplementary files at an associated website to help studentsStudentsof 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. Leeis a Professor Emeritus of Computer Science at Luther College, Decorah, Iowa, USA. He is the author of the successful Springer books,Python Programming Fundamentals,andFoundations of Programming Languages.Dr. Steve Hubbardis a Professor Emeritus of Mathematics and Computer Science at Luther College. N° de réf. du vendeur 9783031422089
Quantité disponible : 1 disponible(s)
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Data Structures and Algorithms with Python
Edité par
Springer International Publishing Feb 2024, 2024
ISBN 10 : 3031422082
ISBN 13 : 9783031422089
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Data Structures and Algorithms With Python: With an Introduction to Multiprocessing
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Springer-Nature New York Inc, 2024
ISBN 10 : 3031422082
ISBN 13 : 9783031422089
Neuf
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