Data Structures and Algorithms in Python

Author: Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser

Publisher: Wiley

ISBN: 1118290275

Category: Computers

Page: 768

View: 9062

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Based on the authors’ market leading data structures booksin Java and C++, this book offers a comprehensive, definitiveintroduction to data structures in Python by authoritative authors.Data Structures and Algorithms in Python is the firstauthoritative object-oriented book available for Python datastructures. Designed to provide a comprehensive introduction todata structures and algorithms, including their design, analysis,and implementation, the text will maintain the same generalstructure as Data Structures and Algorithms in Java andData Structures and Algorithms in C++. Begins by discussing Python’s conceptually simple syntax,which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout thetext. Presents each data structure using ADTs and their respectiveimplementations and introduces important design patterns as a meansto organize those implementations into classes, methods, andobjects. Provides a thorough discussion on the analysis and design offundamental data structures. Includes many helpful Python code examples, with source codeprovided on the website. Uses illustrations to present data structures and algorithms,as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, helpreaders learn how to think like programmers, and reinforceimportant concepts. Contains many Python-code and pseudo-code fragments, andhundreds of exercises, which are divided into roughly 40%reinforcement exercises, 40% creativity exercises, and 20%programming projects.
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Hands-On Data Structures and Algorithms with Python

Write complex and powerful code using the latest features of Python 3.7, 2nd Edition

Author: Dr. Basant Agarwal,Benjamin Baka

Publisher: Packt Publishing Ltd

ISBN: 1788991931

Category: Computers

Page: 398

View: 1313

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Learn to implement complex data structures and algorithms using Python Key Features Understand the analysis and design of fundamental Python data structures Explore advanced Python concepts such as Big O notation and dynamic programming Learn functional and reactive implementations of traditional data structures Book Description Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications. This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms. What you will learn Understand object representation, attribute binding, and data encapsulation Gain a solid understanding of Python data structures using algorithms Study algorithms using examples with pictorial representation Learn complex algorithms through easy explanation, implementing Python Build sophisticated and efficient data applications in Python Understand common programming algorithms used in Python data science Write efficient and robust code in Python 3.7 Who this book is for This book is for developers who want to learn data structures and algorithms in Python to write complex and flexible programs. Basic Python programming knowledge is expected.
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Data Structures and Algorithms with Python

Author: Kent D. Lee,Steve Hubbard

Publisher: Springer

ISBN: 3319130722

Category: Computers

Page: 363

View: 2283

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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.
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Python Data Structures and Algorithms

Author: Benjamin Baka

Publisher: Packt Publishing Ltd

ISBN: 1786465337

Category: Computers

Page: 310

View: 884

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Implement classic and functional data structures and algorithms using Python About This Book 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. Who This Book Is For The book will appeal to Python developers. A basic knowledge of Python is expected. 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. In Detail 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. Style and Approach The easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications.
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Data Structure and Algorithmic Thinking with Python

Author: Narasimha Karumanchi

Publisher: Careermonk Publications

ISBN: 9788192107592

Category:

Page: 472

View: 7198

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It is the Python version of "Data Structures and Algorithms Made Easy." Table of Contents: goo.gl/VLEUca Sample Chapter: goo.gl/8AEcYk Source Code: goo.gl/L8Xxdt The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem. "Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems. Topics covered include: Organization of Chapters Introduction Recursion and Backtracking Linked Lists Stacks Queues Trees Priority Queues and Heaps Disjoint Sets ADT Graph Algorithms Sorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Hacks on Bit-wise Programming Other Programming Questions
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Data Structures and Algorithms Using Python

Author: Rance D. Necaise

Publisher: Wiley

ISBN: 9780470618295

Category: Computers

Page: 540

View: 1463

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More and more programmers are turning to Python and this book will give them the understanding they need. Necaise introduces the basic array structure and explores the fundamentals of implementing and using multi-dimensional arrays. The underlying mechanisms of many of Python’s built-in data structures and constructs are covered. A number of ADTs and applications are discussed as threads throughout the book to allow for multiple implementations as new data structures are introduced. Real-world applications of the various chapter topics are also presented. This gives programmers complete coverage of abstraction and the basic data structures and algorithms in the Python language.
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Data Structures and Algorithms Using Python and C++

Author: David M. Reed,John M. Zelle

Publisher: Franklin Beedle & Assoc

ISBN: 9781590282335

Category: Computers

Page: 568

View: 5712

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"Builds on knowledge from a first course in computer programming using Python. Makes a transition from programming in Python to a data structures course and programming in C++"--Provided by publisher.
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Easy Learning Data Structures and Algorithms Python 3

Data Structures and Algorithms Guide in Python

Author: yang hu

Publisher: Independently Published

ISBN: 9781098735487

Category:

Page: 208

View: 2945

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Data Structures and Algorithms Python 3, It is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, The programs demonstrate in graphical form what data structures look like and how they operate.1. Bubble Sorting Algorithm2. Select Sorting Algorithm3. Insert Sorting Algorithm4. Dichotomy Binary Search5. Unidirectional Linked List5.1 Create and Traversal5.2 Add Node5.3 Insert Node5.4 Delete Node6. Doubly Linked List6.1 Create and Traversal6.2 Add Node6.3 Insert Node6.4 Delete Node7. One-way Circular LinkedList7.1 Initialization and Traversal7.2 Insert Node7.3 Delete Node8. Two-way Circular LinkedList8.1 Initialization and Traversal8.2 Insert Node8.3 Delete Node9. Queue10. Stack11. Recursive Algorithm12. Two-way Merge Algorithm13. Quick Sort Algorithm14. Binary Search Tree 14.1 Construct a binary search tree 14.2 Binary search tree In-order traversal 14.3 Binary search tree Pre-order traversal 14.4 Binary search tree Post-order traversal 14.5 Binary search tree Maximum and minimum 14.6 Binary search tree Delete Node15. Binary Heap Sorting16. Hash Table17. Graph 17.1 Undirected Graph and Depth-Frst Search 17.2 Undirected Graph and Breadth-First Search 17.3 Directed Graph and Depth-Frst Search 17.4 Directed Graph and Breadth-First Search 17.5 Directed Graph Topological Sorting
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Problem Solving in Data Structures & Algorithms Using Python

Author: Hemant Jain

Publisher: Independently Published

ISBN: 9781098963231

Category:

Page: 410

View: 7172

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"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https: //github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C language developer. You are not an expert in C language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory
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