Szczegóły ebooka

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

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

Benjamin Baka

Ebook
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.
  • 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
  • Tytuł: Python Data Structures and Algorithms. Improve application performance with graphs, stacks, and queues
  • Autor: Benjamin Baka
  • Tytuł oryginału: Python Data Structures and Algorithms. Improve application performance with graphs, stacks, and queues
  • ISBN: 9781786465337, 9781786465337
  • Data wydania: 2017-05-30
  • Format: Ebook
  • Identyfikator pozycji: e_15ka
  • Wydawca: Packt Publishing