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所在平台: Udemy |
课程主页: https://www.udemy.com/course/latest-learn-advanced-python-programming-source-code/
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课程名称：更新版学习高级Python编程与5个项目 课程概述：此次高级Python编程课程旨在帮助Python开发者提升编程技能。课程涵盖高级Python编程概念及库，并教授学生如何使用面向对象编程、函数式编程和数据库管理来构建复杂应用程序。学生将学习如何使用流行的Python库（如NumPy、Pandas和Matplotlib）进行数据分析和可视化，并获得使用Django等流行框架进行Web开发的实践经验。课程结束时，学生将具备使用Python构建真实应用程序的能力，能够应对更高级的编程挑战。 课程内容大纲包括： - 高级Python简介 - 函数式编程基础：Lambda函数、Map、Filter和Reduce函数、生成器和迭代器、装饰器 - 面向对象编程（OOP）基础：类和对象、数据成员和成员函数、self关键字、构造函数和析构函数、继承及其类型、多态、访问修饰符 - 正则表达式简介：Python中的正则表达式、其应用场景、特殊序列、量词和集合 - 数据库及DBMS概述：数据库的必要性、连接数据库所需的不同库和模块、环境设置、建立数据库及表格、CRUD操作 - 输入输出操作介绍：读取和写入文件、处理CSV、Excel和JSON文件 - 流行Python库和框架简介：NumPy、Pandas、Matplotlib、Django - 网络爬虫及其重要性：Python网络爬虫库概述、环境设置、Web页面结构概览、使用Beautiful Soup进行网页抓取的技术 讲师介绍：Faisal Zamir拥有超过7年的计算机科学教育经验，拥有计算机科学硕士学位，擅长PHP、Java、Python、Web开发及数据库管理，致力于以实践和现实的方式教授编程概念，并在学生指导方面有成功记录。 课程完成后，学员将能够： - 使用函数式编程编写清晰高效的代码 - 应用面向对象方法构建复杂应用 - 创建正则表达式进行数据验证和提取 - 连接不同数据库（如SQLite、MySQL、PostgreSQL） - 读取、写入和操作文件 - 精通Python库（如NumPy、Pandas、Matplotlib、Django） - 实施网络爬虫以进行数据提取和分析 - 调试和优化代码以提高性能 - 在各个领域解决实际问题 课程结束后，学员可能的收入机会包括： - 为客户提供自由职业的Python开发服务 - 开发并销售基于Python的软件或工具 - 构建和盈利基于Django的Web应用 - 创建并销售数据分析或机器学习模型 - 提供在线Python辅导或课程制作 感谢您关注Faisal Zamir的课程。
Introduction to Learn Advanced Python Programming CourseIntroduction to Learn Advanced Python Programming Course is designed to help Python developers take their programming skills to the next level.This course provides an overview of advanced Python programming concepts and libraries and teaches students how to build complex applications using object-oriented programming, functional programming, and database management.Students will learn how to use popular Python libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization, and will gain hands-on experience with web development using popular frameworks such as Django.By the end of this course, students will have developed the skills needed to build real-world applications using Python and will be well-equipped to take on more advanced programming challenges.Outlines for Learn Advanced Python Programming What is Advanced Python?What you can learn in Advanced Python and why learn Advanced Python.Introduction to Functional ProgrammingLambda functions, Map, Filter, and Reduce functions, Generators and Iterators (Yields and Next function), Decorators.Introduction to OOP (Object-Oriented Programming)Classes and Objects, Data member and member function, self keyword, Constructor and Destructor, Inheritance and Types, super keyword, Polymorphism, Access specifiers.What is Regular Expression?Regular Expression in Python, Where to Use Regular Expressions, Special Sequences, Quantifiers, Set.What is Database and DBMS?Why Need a Database, Different Libraries and Modules to Connect to a Database, Setup Environment, Setting Up the Connection to a Database, Create Database and Table, CRUD Operations (Insert, Select, Update, Delete), Where Clause, Limit.Introduction to Input and Output OperationsReading (Input) and Writing (Output), Reading CSV File and Writing to It, Reading Excel File and Writing to It, Reading JSON File and Writing to It.Introduction to Popular Python Libraries and FrameworksNumPy, Pandas, Matplotlib, Django, Excel.What is Web Scraping and Why is It Important?Overview of Python Libraries for Web Scraping, Setting Up the Environment for Web Scraping, Overview of Web Page Structure (HTML and CSS), Installing and Setting Up Beautiful Soup, Web Scraping Techniques Using Beautiful Soup.Instructor Experiences and Education:Faisal Zamir is a programmer with 7+ years of experience in computer science education.Holds a Master's in Computer Science and teaches at various academic levels.Proficient in PHP, Java, Python, web development, and database management.Experienced in mentoring students, with a proven success record.Uses a practical, real-world approach to teaching programming concepts.What you can do after this Course?Use functional programming for clean and efficient code.Apply object-oriented approach to build complex applications.Create regular expressions for data validation and extraction.Connect Python to databases like SQLite, MySQL, and PostgreSQL.Read, write, and manipulate files with Python.Master Python libraries: NumPy, Pandas, Matplotlib, Django.Implement web scraping for data extraction and analysis.Debug and optimize code for better performance.Apply best practices in Python software development.Solve real-world problems using Python in various fields.Will you be able to Make Money with Python after this Course?Freelance Python development for clients.Develop and sell Python-based software or tools.Build and monetize web applications using Django.Create and sell data analysis or machine learning models.Offer online Python tutoring or course creation.Thank youFaisal Zamir
