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Data Structures and Algorithms in Python.pdf下载
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2020-07-05 09:01:07
这是一本基于python的数据结构与算法教程(英文版),python入门中级读物。
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Data Structures and Algorithms in Python.pdf下载
这是一本基于python的数据结构与算法教程(英文版),python入门中级读物。 相关下载链接://download.csdn.net/download/weixin_44673658/11286683?utm_source=bbsseo
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Data
Structure
s and
Algorithm
s Using
Python
.
pdf
英文原版书名:
Data
Structure
s and
Algorithm
s Using
Python
作者:Rance D. Necaise Department of Computer Science College of William and Mary
Python
Data
Structure
s and
Algorithm
s [2017]
Python
Data
Structure
s and
Algorithm
s 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
structure
s. Get a better understanding of advanced
Python
concepts such as big-o notation, dynamic programming, and functional
data
structure
s. Explore illustrations to present
data
structure
s and
algorithm
s, as well as their analysis, in a clear, visual manner. Book Description
Data
structure
s 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
structure
s and the most common
algorithm
s. 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
structure
s 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
structure
s 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
algorithm
s 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
structure
s. Build sophisticated
data
applications. Understand the common programming patterns and
algorithm
s 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
algorithm
s 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
structure
s Principles of
data
structure
design Lists and pointer
structure
s Stacks and Queues Trees Hashing and symbol tables Graphs and other
algorithm
s Searching Sorting Selction
Algorithm
s Design Ttechniques and Sstrategies Implementations, applications and tools
数据结构实战完全手册
《数据结构实战完全手册》主讲:丁宋涛 数据结构是程序设计的必修知识,它是程序设计的基本功,并且在企业... 德国)和科学出版社联合出版 对应英文版《
Data
Structure
s and
Algorithm
s Analysis – New Perspectives》
Data
Structure
s and
Algorithm
s in
Python
This book is based upon the book
Data
Structure
s and
Algorithm
s in Java by Goodrich and Tamassia, and the related
Data
Structure
s and
Algorithm
s in C++ by Goodrich, Tamassia, and Mount. However, this book is not simply a translation of those other books to
Python
. In adapting the material for this book, we have significantly redesigned the organization and content of the book as follows: • The code base has been entirely redesigned to take advantage of the features of
Python
, such as use of generators for iterating elements of a collection. • Many
algorithm
s that were presented as pseudo-code in the Java and C++ versions are directly presented as complete
Python
code. • In general, ADTs are defined to have consistent interface with
Python
’s built- in
data
types and those in
Python
’s collections module. • Chapter 5 provides an in-depth exploration of the dynamic array-based un- derpinnings of
Python
’s built-in list, tuple, and str classes. New Appendix A serves as an additional reference regarding the functionality of the str class. • Over 450 illustrations have been created or revised. • New and revised exercises bring the overall total number to 750.
Problem Solving in
Data
Structure
s and
Algorithm
s Using
Python
无水印
pdf
0分
Problem Solving in
Data
Structure
s and
Algorithm
s Using
Python
英文无水印
pdf
epub转
pdf
版本
pdf
所有页面使用FoxitReader和
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-XChangeViewer测试都可以打开
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