Python Algorithms: Mastering Basic Algorithms in the Python Language
Autor Magnus Lie Hetlanden Limba Engleză Paperback – 4 sep 2014
The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.
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Apress – 24 noi 2010 | 463.60 lei 6-8 săpt. | |
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Specificații
ISBN-13: 9781484200568
ISBN-10: 148420056X
Pagini: 295
Ilustrații: XVI, 320 p. 76 illus.
Dimensiuni: 178 x 254 x 20 mm
Greutate: 0.55 kg
Ediția:2nd ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 148420056X
Pagini: 295
Ilustrații: XVI, 320 p. 76 illus.
Dimensiuni: 178 x 254 x 20 mm
Greutate: 0.55 kg
Ediția:2nd ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Public țintă
Popular/generalRecenzii
“The book is structured as probably any book or course for programming. Starting from the basics with the Asymptotic Notation and the complexity of algorithms and going to various structures and cases. After each chapter you have problems with hints for their resolution at the end of the book. … If you know Python already to some good working level and you need to understand algorithms for a reason, the book would bring you there.” (Vitosh Academy, vitoshacademy.com, October, 2015)
Notă biografică
Magnus Lie Hetland is an experienced Python programmer, having used the language since the late 1990s. He is also an associate professor of algorithms at the Norwegian University of Science and Technology, having taught algorithms for the better part of a decade. Hetland is the author of Practical Python and Beginning Python, first and second editions, as well as several scientific papers.
Caracteristici
Python Algorithms, Second Edition shows you how to implement classic algorithms and design new problem-solving algorithms using Python.
Cuprins
The Basics.- Counting 101.- Induction and Recursion… and Reduction.- Traversal: The Skeleton Key of Algorithmics.- Divide, Combine, and Conquer.- Greed Is Good? Prove It!.- Tangled Dependencies and Memoization.- From A to B with Edsger and Friends.- Matchings, Cuts, and Flows.- Hard Problems and (Limited) Sloppiness.