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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-basics-chatgpt/
课程评论：没有评论
**课程名称：** Python基础：最大化ChatGPT成为你的个人助理 **课程概述：** 本课程旨在教授学员掌握Python基础知识，从而更有效地利用ChatGPT提升个人生产力。课程由一位英国教授为伦敦MBA学生授课。通过学习，学员将能够使用Python自动化任务，加速工作流程，并更充分地发挥ChatGPT的潜力。 **主要学习内容：** * Python基础语法，包括变量、数据结构（列表、字典、元组、集合）和控制流（循环、条件语句）。 * 常用的Python库，如Numpy（数值计算）和Pandas（数据处理）。 * 通过实际案例和项目，展示如何结合Python和ChatGPT实现任务自动化和问题解决。 **课程目标：** 学员将能够自信地运用Python，最大化与ChatGPT的协同效率，将其打造成个人和职业成长强大工具。无论有无编程经验，本课程都将提供入门所需的知识，开启AI应用新可能。 **课程结构（部分）：** 1. Python简介：安装与Jupyter Notebook 2. 变量：数字、列表 3. 字典、元组 4. 迭代（For、While循环） 5. Numpy库 6. Pandas库
Welcome to 'Python Basics to Maximize ChatGPT as Your Personal Assistant'!Officially taught by BritishProfessor for London MBA students.Hi, I'm excited to guide you through this journey of mastering Python to supercharge your interactions with ChatGPT. While AI tools like ChatGPT can enhance your productivity, understanding fundamental Python concepts is key to unlocking their full potential. This course is designed for individuals looking to automate tasks, speed up workflows, and leverage ChatGPT more effectively in their day-to-day activities.Throughout this course, you will:Learn the basics of Python, including essential syntax, variables, data structures (lists, dictionaries, tuples, sets), and control flow (loops, conditionals).Work with powerful Python libraries such as Numpy for numerical computing and Pandas for data manipulation.Explore hands-on examples and projects that demonstrate how Python can be used alongside ChatGPT to automate tasks and solve problems.By the end of this course, you'll be able to confidently use Python to maximize your productivity with ChatGPT, turning it into a powerful tool for personal and professional growth.Whether you're completely new to programming or have some experience, this course will provide you with the necessary knowledge to get started with Python and unlock new possibilities with AI. Let's make your life easier with Python!1. Python Introduction: Installation, Jupyter Notebook2. Variables: Numbers, List3. Dictionaries, Tuples4. Iteration (For, While)5. Numpy6. Pandas
