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Problem_Solving_in_Data_Structures_＆_Algorithms_Using_Python_Programming_Interview_Guide.pdf

Algorithm-python_data_structures_and_algorithms.zip,巨蟒中国,算法是为计算机程序高效、彻底地完成任务而创建的一组详细的准则。

Algorithm-Data_Structures_and_Algorithms_in_Python.zip,由MichaelT.Goodrich，RobertoTamassia和MichaelH.Goldwasser撰写的“Python中的数据结构和算法”的工作解决方案。,算法是为计算机程序高效、彻底地完成任务而创建的一组详细的准则。

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background. Table of Contents Chapter 1 Python Programming 101 Chapter 2 Computational Complexity Chapter 3 Recursion Chapter 4 Sequences Chapter 5 Sets and Maps Chapter 6 Trees Chapter 7 Graphs Chapter 8 Membership Structures Chapter 9 Heaps Chapter 10 Balanced Binary Search Trees Chapter 11 B-Trees Chapter 12 Heuristic Search Appendix A: Integer Operators Appendix B: Float Operators Appendix C: String Operators and Methods Appendix D: List Operators and Methods Appendix E: Dictionary Operators and Methods Appendix F: Turtle Methods Appendix H: Complete Programs

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

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