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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-ultimate-python-programming-course-d/
课程评论：没有评论
课程名称：初学者的Python：通过实践练习学习Python！ 课程概述：你好，我是Sam，一名大数据工程师和全栈网页开发人员，旨在以最有效和实用的方式教你编程Python。我不仅会教你如何编码，还是使用的数据科学家和大数据工程师日常开发Python代码的环境。该课程时长为3小时，适合忙碌的日程。课程内容将高度适用于实际工作场景。本课程绝对没有冗余内容，我们将直接切入编程的核心，而不会花费数小时讨论理论，这些理论在实际项目中往往难以应用。因此，如果你想学习Python编程，以便转向数据科学或大数据领域，而时间又有限，那么你来对地方了！课程划分如下： - 环境设置：学习并安装数据科学家和开发人员最常用的开发环境。 - 数据类型与方法：编程语言的基础。 - 控制与循环：学习如何控制程序的流程和重复任务。 - 函数：帮助自动化任务。 - 错误处理：在现实应用中处理错误。 - 面向对象编程：学习OOP以提高编程能力。 - 文件结构与终端运行：了解Python模块的工作原理，并在终端中运行代码。 加入我，开始你的Python编程之旅！
Hi I'm Sam, a big data engineer and full stack web developer teaching you to program in Python in the most efficient and down to earth approach. I will not only teach you to code but also the environment used to develop python code used by everyday data scientists and big data engineers. This course is streamlined into 3 hours to fit into a busy schedule. All content in this course will be highly reusable in a real world situation. This course is strictly no ‘fluff' which means we will get into the core of programming straight away without going through hours of theory which you will never apply on real projects. So if you want to learn python programming to transition into data science, or the big data space and don't have the luxury of time you have come to the right place! Course is split up into sections as below: Environment Setup - Here you learn and install the most popular environments used by data scientists and developers Data Types and Methods - The abc's of the coding language. Control and Looping - Learn how to control the flow of the program and repeat tasks Functions - Help Automate your tasks Error Handling - Handles errors in real world applications Object Oriented Programming - Learn OOP to be even better at programming File Structure & Running in Terminal - Learn how Python modules work and run in Terminal
