|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/extensive-python-fundamentals-in-4-weeks/
课程评论：没有评论
课程名称：四周掌握Python基础 课程概述：本课程为学生提供Python基础知识，使他们能够快速入门并编写全面的Python代码。该课程面向希望快速提升的初学者，内容解释清晰易懂，结构合理，便于任何学习者理解。虽然课程设计为四周完成，但如果你学习较快，可以灵活调整进度。该课程100%注重实践，没有使用PowerPoint演示，每个概念的解释和定义都通过代码进行，打破了传统教学方式。 课程内容包括： - Python标识符和关键字 - Python语句、缩进和注释 - Python变量与常量 - Python运算符 - Python字面量 - Python数据类型 - Python类型转换 - Python数据结构 - Python输入和输出 - Python导入语句 - Python日期时间函数 - Python控制流 此外，课程还将教授如何处理文件、调试代码以应对错误，防止用户在使用代码过程中犯错或遇到难以理解的错误信息。所有这些经验将结合在一起，帮助学生深入理解Python面向对象编程。完成本课程后，学员将成为专业的Python开发者。
This training provides students with Fundamentals of Python that will enable the students to get off the ground and begin to write comprehensive python code in the shortest time possible. This training is for beginners who want to get off the ground quickly. The explanations of the concepts are straightforward to grasp and understand. The training is structured in a way that would make it easy for anyone taking it to understand. It is structured to be taken in 4 weeks. However, you don't have to follow the four-week structure if you are a fast learner. This training is 100% practical. There is no PowerPoint presentation. Every explanation and definition of the concepts are done in the code. This is a deviation from the norm. Topics such as Python Identifiers and Keywords, Python Statements, Indentation and comment, Python Variables and Constants, Python Operators, Python Literals, Python Data Types, Python Type Conversion, Python Data Structures, Python Input and Output, and Python Import Statement, Python DateTime Function, Python Control Flow, are extensively discussed and explained.Furthermore, you will learn how to handle files, debug your code in the event of any error, and prevent users of your code from making mistakes or showing them error they cannot understand. All these experiences will then be combined to gain an extensive understanding of Python Object Oriented Programming. By the time you are done with this training, you would have become a Professional Python Developer.
