Overview
- Python Algorithms, Second Edition shows you how to implement classic algorithms and design new problem-solving algorithms using Python.
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Table of contents (15 chapters)
About this book
Python Algorithms, Second Edition 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 it also gives a solid understanding of fundamental algorithmic problem-solving techniques.
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.
Reviews
“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)
About the author
Bibliographic Information
Book Title: Python Algorithms
Book Subtitle: Mastering Basic Algorithms in the Python Language
Authors: Magnus Lie Hetland
DOI: https://doi.org/10.1007/978-1-4842-0055-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Magnus Lie Hetland 2014
Softcover ISBN: 978-1-4842-0056-8Published: 04 September 2014
eBook ISBN: 978-1-4842-0055-1Published: 17 September 2014
Edition Number: 2
Number of Pages: XVI, 320
Number of Illustrations: 76 b/w illustrations
Topics: Python, Software Engineering/Programming and Operating Systems, Mathematical Software