|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/intro-to-python-programming-bundle/
课程评论：没有评论
课程名称：Python编程包：Python入门、Pandas和面向对象编程 概述：本课程包包括一个Python项目以及可下载的课程讲师和练习文件，供学员在学习时参考和操作。如果你需要更好的数据处理工具，那么了解Python是时候了。这个高性价比的三门课程Python包是学习的理想起点。Python是数据分析和商业智能中最受欢迎的语言之一，而Pandas是最常用的Python库之一。同时，面向对象编程在Python中尤为重要，因为Python代码的每个部分都与对象和类交互。 本课程的Python入门部分假设学员没有前置知识，指导学员设置并开始学习，课程结束时还有完整的项目可以完成。面向初学者的Pandas部分将介绍数据分析的基础，假设学员没有Pandas经验，但由于Pandas是基于Python的库，学员需要具备基础的Python语法知识，这将在第一门课程中学习。为了从OOP课程中获得最大收益，学员需要具备中级Python编程水平。 课程内容包括： 1. **Python入门**： - Python中的基本数据类型：字符串、整数、浮点数和布尔值 - Python内置函数的使用 - 变量和函数在Python中的工作原理 - 如何调试Python中的错误 - Python关键词的相关知识 - Python中的条件语句（If-Else）的使用 - 复杂数据的存储，包括列表和字典 - Python模块及其安装方法 - 本地安装Python - 编写你的第一个Python脚本 - 完成你的第一个Python项目 2. **面向对象编程（OOP）**： - 描述面向对象范式的含义，并创建类层次结构 - 理解类变量和实例变量的区别，以及类方法、实例方法和静态方法之间的区别 - 使对象具有可索引性（如列表）、可调用性（如函数）和可比较性（如数字） - 为复杂问题设计和实现Python程序，充分利用语言特性，如类和继承 3. **初学者的Pandas**： - Pandas概述 - 在计算机上安装Pandas - 使用两个主要的Pandas数据结构：Series和DataFrame - 观看来自外部源导入的数据 - 使用索引和过滤整理输入数据 - 使用Pandas进行数据预处理 - 处理缺失值和重复行 - 高效格式化数据 - 处理不同数据类型 - 使用字符串函数进行数据操作 - 日期和时间格式化 该课程包包含：超过11小时的视频教程、70多节单独的视频讲座、结业证书、课程和练习文件以便跟随学习。
**This course bundle includes a Python Project and downloadable course instructor and exercise files to work with and follow along.**If you need a better tool for handling data, it's time to get to know Python, and this amazing value three-course Python bundle is the perfect place to start.Python is one of the most popular languages for data analysis and business intelligence, with Pandas as one of the most commonly used Python libraries. At the same time, Object-Oriented Programming is particularly important in Python since every piece of Python code interacts with objects and classes.The introduction to Python course assumes no prior knowledge and guides you through getting set up and started, with practice exercises and a full project to complete at the end of the course.Pandas for beginners will introduce you to the basics of data analysis and assumes no previous Pandas experience. But since Pandas is a package built for Python, you need to have a fundamental understanding of basic Python syntax, which you should learn in the first course.To get the most out of the OOP course, you need to be at an intermediate level in Python programming.What's included?Introduction to Python:The basic data types in Python - strings, integers, floats, and BooleanAll about Python's built-in functionsHow variables and functions work in PythonHow to debug errors in PythonAll about Python keywordsHow to use If-Else statements in PythonAll about storing complex data, including lists and dictionariesAll about Python modules and how to install themHow to install Python locallyHow to write your first script in PythonTo complete your first Python projectObject-Oriented Programming:Describe the meaning of the object-oriented paradigm and create class hierarchies using the object-oriented design process.Understand the difference between class variable and instance variable as well as the difference between class method, instance method, and static method.Make an object indexable (like lists), callable (like functions), and comparable (like numbers).Design and implement Python programs for complex problems, making good use of the language's features such as classes and inheritance.Pandas for Beginners:An overview of PandasInstalling Pandas on your computerUsing the two primary Pandas data structures, Series and DataFrameViewing data imported from an external sourceOrganizing input data using indexing and filteringUsing Pandas for data preprocessingAddressing missing values and duplicate rowsFormatting your data most efficientlyProcessing different data typesData manipulation using string functionsDate and time formattingThis course bundle includes:11+ hours of video tutorials70+ individual video lecturesCertificate of completionCourse and exercise files so you can follow along
