Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 32,42
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Fine.
paperback. Zustand: Very Good. Cover and edges may have some wear.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 69,37
Anzahl: 1 verfügbar
In den WarenkorbZustand: New. pp. 368.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 90,69
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 2015 edition. 363 pages. 8.00x5.00x1.00 inches. In Stock.
Taschenbuch. Zustand: 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.