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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-beginners-l/
课程评论：没有评论
课程名称：初学者的Python 课程概述：Python是一种解释型的高级通用编程语言，其设计理念强调代码的可读性，采用显著的缩进格式。Python的语言构造以及面向对象的方法旨在帮助程序员为小型和大型项目编写清晰、逻辑的代码。Python可以应用于多种用途，包括在服务器上创建Web应用程序、与软件协同创建工作流程、连接数据库系统、读取和修改文件、处理大数据以及执行复杂数学运算。Python也可以用于快速原型开发或生产级软件开发。 为什么选择Python？Python可以在不同的平台上运行（如Windows、Mac、Linux、Raspberry Pi等）。它的语法简单，类似于英语，使得开发者可以用更少的代码行来编写程序。由于Python运行在解释器系统上，代码可以在编写后立即执行，这使得原型制作非常迅速。Python可以采用过程式、面向对象或函数式编程方式。本课程将使用最新的Python 3版本进行教学，尽管Python 2仍然有一定的人气，但其仅限于安全更新。 课程内容将通过文本编辑器编写Python代码，也可以使用集成开发环境（IDE），如Pycharm、Netbeans或Eclipse，特别适合管理大型Python文件集合。
Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.What can Python do?Python can be used on a server to create web applications.Python can be used alongside software to create workflows.Python can connect to database systems. It can also read and modify files.Python can be used to handle big data and perform complex mathematics.Python can be used for rapid prototyping, or for production-ready software development.Why Python?Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).Python has a simple syntax similar to the English language.Python has syntax that allows developers to write programs with fewer lines than some other programming languages.Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.Python can be treated in a procedural way, an object-oriented way or a functional way.The most recent major version of Python is Python 3, which we shall be using in this course. However, Python 2, although not being updated with anything other than security updates, is still quite popular.In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as , Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files.
