Hands-On Data Structures and Algorithms with Python - Third Edition

Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient

Key Features:

• Explore functional and reactive implementations of traditional and advanced data structures
• Apply a diverse range of algorithms in your Python code
• Implement the skills you have learned to maximize the performance of your applications

Book Description:

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.

What You Will Learn:

• Understand common data structures and algorithms using examples, diagrams, and exercises
• Explore how more complex structures, such as priority queues and heaps, can benefit your code
• Implement searching, sorting, and selection algorithms on number and string sequences
• Become confident with key string-matching algorithms
• Understand algorithmic paradigms and apply dynamic programming techniques
• Use asymptotic notation to analyze algorithm performance with regard to time and space complexities
• Write powerful, robust code using the latest features of Python

Who this book is for:

This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.

了解如何智能地實現不同的數據結構和算法，可以使你的Python代碼和應用程序更易於維護和高效。

主要特點：
- 探索傳統和高級數據結構的功能性和反應性實現
- 在你的Python代碼中應用各種算法
- 應用所學技能，最大限度地提高應用程序的性能

書籍描述：
選擇合適的數據結構對於優化應用程序的性能和可擴展性至關重要。本新版《Python數據結構和算法實踐》將擴展你對關鍵結構的理解，包括堆棧、隊列和列表，並向你展示如何在應用程序中應用優先隊列和堆。你將學習如何分析和比較Python算法，並根據運行時間和計算複雜性選擇應該用於解決問題的算法。你還將自信地以可管理、一致和可擴展的方式組織代碼，這將提高你作為Python開發人員的生產力。

通過閱讀本書，你將能夠更高效地存儲、組織和訪問應用程序中最重要的數據結構和算法。

你將學到什麼：
- 通過示例、圖表和練習了解常見的數據結構和算法
- 探索更複雜的結構，如優先隊列和堆，以改進代碼
- 在數字和字符串序列上實現搜索、排序和選擇算法
- 熟悉關鍵的字符串匹配算法
- 理解算法範式並應用動態編程技巧
- 使用漸進符號分析算法性能，包括時間和空間複雜度
- 使用Python的最新功能編寫強大、健壯的代碼

本書適合開發人員和程序員，他們有興趣學習Python中的數據結構和算法，以編寫複雜、靈活的程序。預期讀者具備基本的Python編程知識。