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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-fundamentals-for-dsa/
课程评论：没有评论
Coursera 课程总结：Python 基础：为数据结构与算法打下坚实基础 这门课程专为准备学习数据结构与算法（DSA）但缺乏 Python 基础的学习者设计。课程**只教授与 DSA 密切相关的 Python 核心概念**，摒弃无关理论，直击重点。 **课程亮点：** * **零基础友好：** 无需任何 Python 经验。 * **目标明确：** 专注于 DSA 所需的 Python 技能。 * **实战应用：** 每个概念都通过真实的编程示例进行讲解。 * **以解决问题为导向：** 在解决实际编码问题的过程中学习 Python。 **学习目标：** 完成课程后，学员将能自信地开始学习 Python 的 DSA，不再担心 Python 基础不足。 **课程内容：** * Python 基础（变量、数据类型、运算符） * 循环与条件语句（for、while、if-else） * 函数与递归 * 列表、元组和字典（关键数据结构） * 字符串操作 * 面向对象编程（OOP）基础 **适合人群：** * 希望专注于 DSA 相关 Python 概念的 Python 初学者。 * 准备 Python 编码面试的学生。 * 正在学习 DSA 课程、需要快速回顾 Python 知识的学习者。 * 从其他语言转到 Python 的计算机科学/信息技术专业学生。 **课程要求：** * 无需 Python 知识。 * 一台联网的电脑。 * 乐于通过动手编码练习学习。
Are you preparing for Data Structures and Algorithms (DSA) but struggling with Python fundamentals? This course is designed for you!In Python Fundamentals: Build a Strong Foundation for DSA, you'll learn only the Python concepts that are necessary for DSA. This means no unnecessary theory-just the core Python skills required to solve DSA problems efficiently.What makes this course unique?Beginner-Friendly - No prior Python experience needed!Straight to the Point - Focuses only on what's required for DSA.Hands-on Coding - Every concept is explained with real code examples.Problem-Solving Oriented - Learn Python while solving practical coding problems.By the end of this course, you'll have the confidence to start learning DSA with Python without worrying about missing Python fundamentals!What You'll Learn:Python Basics (Variables, Data Types, Operators)Loops and Conditionals (For, While, If-Else)Functions and RecursionLists, Tuples, and Dictionaries (Essential Data Structures)String ManipulationObject-Oriented Programming (OOP) BasicsWho This Course Is For:Beginners in Python who want to focus only on the DSA-related conceptsStudents preparing for coding interviews with PythonAnyone taking a DSA course and needs a quick Python refresherCS/IT students transitioning from another language to PythonCourse Requirements:No prior Python knowledge is needed.A computer with an internet connection.Willingness to learn with hands-on coding exercises.
