Python Algorithms

书名:Python AlgorithmsMasteringBasicAlgorithmsinthePythonLanguage
作者:MagnusLieHetland
译者:
ISBN:9781430232377
出版社:Apress
出版时间:2010-11-24
格式:epub/mobi/azw3/pdf
页数:336
豆瓣评分: 8.9

书籍简介:

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 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, but in a highly pedagogic and readable manner. * The book 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 himself. What you'll learn * Transform new problems to well-known algorithmic problems with efficient solutions, or show that the problems belong to classes of problems thought not to be efficiently solvable. * Analyze algorithms and Python programs both using mathematical tools and basic experiments and benchmarks. * Prove correctness, optimality, or bounds on approximation error for Python programs and their underlying algorithms. * Understand several classical algorithms and data structures in depth, and be able to implement these efficiently in Python. * Design and implement new algorithms for new problems, using time-tested design principles and techniques. * Speed up implementations, using a plethora of tools for high-performance computing in Python. Who this book is for The book is intended for Python programmers who need to learn about algorithmic problem-solving, or who need a refresher. Students of computer science, or similar programming-related topics, such as bioinformatics, may also find the book to be quite useful. Table of Contents * Introduction * 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

作者简介:

书友短评:

@ Nana 推薦前1/3有點無聊,可能是因爲都知道了但是後面讀着很有意思,也受到了很多啓發 @ stephansun 叫 算法设计 或许更合适 @ casanova80 不好读,我只想找几个问题看看 @ waluobo 算法设计 @ Ragnarok Python实现的算法书。。好像很有趣的赶脚。。 @ Henry 言简意赅,重点是图论算法,颇有难度,很有启发。 @ liuerfire 第一次看到介绍算法用python的。姑且看看先~ @ 偶得茶馆 中文版翻译成了《python算法教程》,连封面也换了,不过用python的朋友值得花时间好好看看的 @ galois 好书,为什么没人翻译这本书呢

书籍目录

  • In away, algorithm design can be seen as a way of achieving low asymptotic running time (by designingefficient algorithms), while algorithm engineering is focused on reducing the hidden constants in thatasymptotic complexity
    —— 引自第20页
  • For timing things, use timeit.
    —— 引自第21页
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