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Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition

Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition

Dr. Basant Agarwal

Ebook
Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.

By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.
  • 1. Python Data Types and Structures
  • 2. Introduction to Algorithm Design
  • 3. Algorithm Design Techniques and Strategies
  • 4. Linked Lists
  • 5. Stacks and Queues
  • 6. Trees
  • 7. Heaps and Priority Queues
  • 8. Hash Tables
  • 9. Graphs and Algorithms
  • 10. Searching
  • 11. Sorting
  • 12. Selection Algorithms
  • 13. String Matching Algorithms
  • 14. Appendix: Answers to the Questions
  • Tytuł: Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition
  • Autor: Dr. Basant Agarwal
  • Tytuł oryginału: Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition
  • ISBN: 9781801076814, 9781801076814
  • Data wydania: 2022-07-29
  • Format: Ebook
  • Identyfikator pozycji: e_2t29
  • Wydawca: Packt Publishing