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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-structures-with-python/
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**课程名称：** Using Python for Data Structures **课程概述：** 本课程旨在教授如何使用Python高效地组织和处理数字信息。数据结构是计算机科学的关键组成部分，广泛应用于人工智能、操作系统和图形学等领域。选择合适的数据结构能显著提升计算机程序或算法的效率。 课程将从Python的内置数据类型（列表、元组、集合、字典、二维数组）讲起，并深入学习用户自定义数据结构，包括栈、队列、双端队列、链表（单向链表、双向链表、循环链表）、树（二叉树、二叉搜索树及其遍历、AVL树）、堆（堆排序、优先队列）、哈希表、图（特性、遍历、最小生成树及其算法Prim和Kruskal）以及Trie树（关键词树）。 课程内容包含面向对象编程（OOP）基础，以确保学员能够理解后续的数据结构概念。此外，课程设计强调直观理解概念，并通过Python代码演示，讲解时间和空间复杂度，最后结合实际应用场景展示数据结构的价值。 **课程特色：** * **初学者友好：** 以直观的讲解和代码教程相结合的方式，易于理解和可视化数据结构。 * **代码驱动：** 深入的代码实操，帮助学员将理论知识转化为实践能力。 * **效率导向：** 关注时间和空间复杂度分析，培养高效编程思维。 * **理论与实践并重：** 概念直观解释 + Python代码演示 + 复杂度分析 + 实际应用。 **学习收益：** * 掌握Python内置及用户自定义数据结构的使用。 * 理解数据结构的核心概念及其在算法设计中的作用。 * 能够通过复杂度分析选择最适合特定场景的数据结构。 * 提升解决实际问题的编程能力。 * 提供完整的源代码下载，方便复习和实践。
Data structure provides the right way to organize information in the digital space. The data structure is a key component of Computer Science and is largely used in the areas of Artificial Intelligence, operating systems, graphics.The right selection of data structure can enhance the efficiency of computer programs or algorithms in a better way.Learn Data Structures in Python all the way from Built-in to User-Defined.Methods on Data structures are also covered so that we can use them efficiently.The data structure and algorithm provide a set of techniques to the programmer for handling the data efficiently. The programmer should understand the core concepts of data handling.Necessary OOPS is also covered so, that there won't be a problem understanding further concepts.It's Beginner Friendly with intuition followed by code tutorials, So It's Easy to Understand and Visualise a Data Structure.So, Solving Problems would be easier after learning the Data Structure as you have better intuition.Course Design: Intuition of the concept + Code walkthrough in Python + Time and Space Complexity + Application of that Data Structure in real Life.Data Structures Include:ListsTuplesSetsDictionaries2-D ArraysOOP For understanding data structuresStacksQueuesDequeLinked-ListsDoubly Linked ListsCircular Linked ListsTreesBinary TreesBinary Search Trees + Traversals AVL TreesHeaps + Heap sort Priority QueueHashMaps/HashTablesGraphs + Properties Graph Traversals Spanning Trees + MSTPrims + Kruskals Algorithms for MSTTries (Keyword Trees)Misc Section( Has important concepts )Take Away Section( Download the whole source code in this Section)
