Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues

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9781786467355: Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues
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Implement classic and functional data structures and algorithms using Python

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.

Table of Contents

  1. Python objects, types and expressions
  2. Python data types and structures
  3. Principles of data structure design
  4. Lists and pointer structures
  5. Stacks and Queues
  6. Trees
  7. Hashing and symbol tables
  8. Graphs and other algorithms
  9. Searching
  10. Sorting
  11. Selction Algorithms
  12. Design Ttechniques and Sstrategies
  13. Implementations, applications and tools

"synopsis" may belong to another edition of this title.

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.

"About this title" may belong to another edition of this title.

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Book Description Packt Publishing Limited, United Kingdom, 2017. Paperback. Condition: New. Language: English. Brand new Book. Implement classic and functional data structures and algorithms using PythonAbout 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 ForThe 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 DetailData 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 approachThe easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications. Seller Inventory # AAV9781786467355

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Book Description Packt Publishing Limited, United Kingdom, 2017. Paperback. Condition: New. Language: English. Brand new Book. Implement classic and functional data structures and algorithms using PythonAbout 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 ForThe 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 DetailData 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 approachThe easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications. Seller Inventory # AAV9781786467355

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Book Description Packt Publishing - ebooks Account. Paperback. Condition: New. 377 pages. Dimensions: 9.2in. x 7.5in. x 0.7in.Key FeaturesThe book will teach you how to use data structures such as arrays, stacks, trees, lists and graphs with real-world examples. Learn important and advanced data structures such as searching and sorting algorithms. Understand important concepts such as big-o notation, dynamic programming, and functional data structures. Book DescriptionData 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 learnGain 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9781786467355

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Book Description Packt Publishing Limited, United Kingdom, 2017. Paperback. Condition: New. Language: English. Brand new Book. Implement classic and functional data structures and algorithms using PythonAbout 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 ForThe 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 DetailData 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 approachThe easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications. Seller Inventory # LIE9781786467355

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