Python算法教程英文版
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this print for content only—size & color not accurate 7.5 x 9.25 spine = 0.5" 336 page count 692 ppi
Hetland
Python Algorithms
THE EXPERT’S VOICE
®
IN OPEN SOURCE
Python
Algorithms
Mastering Basic Algorithms in the
Python Language
CYAN
MAGENTA
YELLOW
BLACK
PANTONE 123 C
Magnus Lie Hetland
Companion
eBook
Available
Learn to implement classic algorithms and design
new problem-solving algorithms using Python
BOOKS FOR PROFESSIONALS BY PROFESSIONALS
®
Magnus Lie Hetland,
Author of
Beginning Python: From
Novice to Professional,
Second Edition
Shelve in:
Programming / Python
User level:
Intermediate – Advanced
THE APRESS ROADMAP
Pro
Python
Python
Algorithms
Beginning
Python Visualization
Beginning Python,
Second Edition
THE APRESS ROADMAP
Pro
Python
Python
Algorithms
Beginning
Python Visualization
Beginning Python,
Second Edition
www.apress.com
SOURCE CODE ONLINE
Companion eBook
See last page for details
on $10 eBook version
ISBN 978-1-4302-3237-7
9 781430 232377
54999
Python Algorithms: Mastering Basic
Algorithms in the Python Language
Dear Reader,
Python Algorithms explains the Python approach to algorithm analysis and
design. Written by Magnus Lie Hetland, author of Beginning Python, this book
is sharply focused on classical algorithms, but also gives a solid understanding
of fundamental algorithmic problem-solving techniques.
Python Algorithms deals with some of the most important and challenging
areas of programming and computer science in a highly pedagogic and read-
able manner. It covers both algorithmic theory and programming practice,
demonstrating how theory is reflected in real Python programs.
Python Algorithms explains well-known algorithms and data structures built
into the Python language, and shows you how to implement and evaluate others.
You’ll learn how to:
•Transformnewproblemstowell-knownalgorithmicproblemswithefficient
solutions, or formally show that a solution is unfeasible.
•AnalyzealgorithmsandPythonprogramsbothusingmathematicaltoolsand
basic experiments and benchmarks.
•Provecorrectness,optimality,orboundsonapproximationerrorforPython
programs and their underlying algorithms.
•Understandseveralclassicalalgorithmsanddatastructuresindepth,andlearn
to implement these efficiently in Python.
•Designandimplementnewalgorithmsfornewproblems,usingtime-tested
design principles and techniques.
Whether you’re a Python programmer who needs to learn about algorithmic prob-
lem-solving, or a student of Computer Science, this book will help you to under-
stand and implement classic algorithms, and it will help you create new ones.
www.it-ebooks.info
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