Python编程的数据结构与算法详解

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"《数据结构与算法Python版》是一本面向计算机科学本科生的教材,由Kent D. Lee和Steve Hubbard合著,旨在提供在处理大量数据时编写高效程序所需的概念和技术。本书的特点在于其项目导向的教学方法和经过课堂实践检验的内容,通过实例展示帮助程序员理解面临的实际问题。书中深入讲解了计算复杂性理论,使读者能够理解哪些问题可以有效地计算并做出关于所选算法是否合适的信息性判断。 书中的内容涵盖了数据结构和算法的基础与进阶主题,预设了适合不同课程进度的章节顺序。每章都设置了明确的学习目标,提供了丰富的复习问题和编程练习,以及大量的示例来辅助理解和掌握概念。此外,作者还提供了配套网站,其中包含可下载的程序和补充材料,教师资源也可向作者获取。对于非Python背景的读者,书中还有一部分关于Python语言的入门介绍,使得学习者可以无缝融入到数据结构和算法的学习中。 《数据结构与算法Python版》是Undergraduate Topics in Computer Science系列的一部分,该系列由经验丰富的领域专家撰写,并经过国际顾问团审阅,确保了高质量的内容。每本书都配有详尽的示例和习题,便于学生自我学习或用于一学期左右的课程教学。该书获得了2014年的美国国会图书馆控制号,并已获得电子版的DOI标识,体现了Springer出版社的专业出版标准。 《数据结构与算法Python版》是一本全面且实用的教材,无论是对初学者还是进阶学习者,都是理解和掌握数据结构和算法理论,以及Python编程实践的重要资源。通过阅读这本书,学生将能提升数据处理能力,为未来的软件开发和计算机科学职业打下坚实基础。"
2017-06-11 上传
Python Data Structures and Algorithms by Benjamin Baka English | 30 May 2017 | ASIN: B01IF7NLM8 | 310 Pages | AZW3 | 6.63 MB Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Book Description Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications. What you will learn Gain a solid understanding of Python data structures. Build sophisticated data applications. Understand the common programming patterns and algorithms used in Python data science. Write efficient robust code. About the Author Benjamin Baka works as a software developer and has over 10 years, experience in programming. He is a graduate of Kwame Nkrumah University of Science and Technology and a member of the Linux Accra User Group. Notable in his language toolset are C, C++, Java, Python, and Ruby. He has a huge interest in algorithms and finds them a good intellectual exercise. He is a technology strategist and software engineer at mPedigree Network, weaving together a dizzying array of technologies in combating counterfeiting activities, empowering consumers in Ghana, Nigeria, and Kenya to name a few. In his spare time, he enjoys playing the bass guitar and listening to silence. You can find him on his blog. Table of Contents Python objects, types and expressions Python data types and structures Principles of data structure design Lists and pointer structures Stacks and Queues Trees Hashing and symbol tables Graphs and other algorithms Searching Sorting Selction Algorithms Design Ttechniques and Sstrategies Implementations, applications and tools