Start Python Programming: Fundamentals with Hands-on Project

所在平台: Udemy

课程主页: https://www.udemy.com/course/python-programming-fundamental/

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课程名称:开始Python编程:基础与实践项目 概述:本课程旨在帮助学员构建或发展自己的Python技能,这是2024年最高需求的技术之一。欢迎加入这个全面的Python课程,涵盖基本的编程概念和实践应用。无论您是希望利用Python解决现实问题的新手,还是已经掌握基本语法的学习者,本课程都适合您!课程包括100多个视频讲座及实践实施,涵盖测验、GitHub资源库、备忘单和数据集。您只需花费不到10小时,就可以在Python编程方面建立坚实基础! 您将掌握构建实际项目的技能,如聊天机器人、库存管理系统、仪表板、订单处理系统、网络爬虫、财务跟踪器等。课程内容清晰、简明,并直接针对以下主题,使您成为自信的Python开发者: - Python基础:安装(MacOS、Windows)、Python 3最新版本、环境设置(Google Colab、Visual Studio Code、Python IDLE) - 基本语法:变量与数据类型(int、float、str、bool)、操作符(算术、比较、逻辑)、输入输出 - 控制流:条件语句(if、else、elif、嵌套if)、循环(for、while)、break和continue - 函数:类型、定义、调用、参数和返回值 - 数据结构:列表、元组、字典和集合 - 面向对象编程(OOP):类与对象、属性与方法、构造函数、继承、多态 - Python应用:数据分析与可视化(Pandas、Matplotlib)、网页开发(Django)、虚拟环境管理、自动化、网络爬虫(Beautiful Soup、Request) - 额外主题:模块与包、错误与异常处理、文件处理、装饰器、Lambda函数、调试和常见问题处理、数据库连接(使用SQLite)、Python库(NumPy、Pandas、Matplotlib、Plotly、Streamlit) 完成本课程后,您将具备扎实的Python基础,能够自信地参与行业项目,为在数据科学、机器学习、网页开发、自动化等领域的职业生涯打下基础,帮助您追求Python开发者、AI工程师、数据科学家、机器学习工程师、数据工程师、后端开发者、全栈开发者、DevOps工程师或软件工程师等职位。让我们共同庆祝您迈向Python成功的第一步!

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课程详情

Create or develop your portfolio for one of the highest-demanding technologies, i.e., Python, from today in 2024. Welcome to this comprehensive Python course that covers essential programming concepts and practical application. Whether you want to learn how to tackle real-life challenges with Python, already know the basic syntax, or new in programming, this course is for you! You will get over 100+ Video lectures along with practical implementation, Quizzes, resources like GitHub repository, cheat sheet and data sets. You don't need to spend more than 10 hours, to have a solid foundation in Python Programming!You will get expertise in building practical projects like chatbots, inventory management systems, Dashboard, order processing systems, Web scrapping, Finance Tracker and more. With this clear, precise and straight-forward course, you will have strong grip over the following topic which will make you a confident Python developer Python BasicsPython installation (MacOS, Windows)Latest Version of Python -Python 3Python environment setup (Google Colab, Visual Studio Code, Python IDLE)Basic syntaxVariables and data types (int, float, str, bool)Operators (arithmetic, comparison, logical)Input and outputControl flow (if, else, Elif, nested if, for, while, break, continue)Functions (types, definition, calling, parameters, return values)Data StructuresLists (creation, indexing, slicing, methods)Tuples (creation, methods, indexing, immutability)Dictionaries (creation, access, method)Sets (creation, operations, methods)Object-Oriented Programming (OOP)Classes and objectsAttributes and methodsConstructorsInheritance (single, multiple, multi-level, hierarchical)PolymorphismPython ApplicationsData analysis and visualization (Pandas, Matplotlib)Web development (Django)Virtual EnvironmentAutomationWeb scraping (Beautiful Soup, Request)Additional TopicsModules and packagesError and exception handlingFile handlingDecoratorsLambda functionsDebuggingTestingTroubleshooting Common Python ProblemsDatabase connectivity using SQLitePython libraries (NumPy, Pandas, Matplotlib, Plotly, Streamlit)By the end of this course, you will have a strong foundation in Python, you will be able to work confidently in industries project, preparing you to excel in fields like data science, machine learning, web development, automation and empowers you to pursue roles such as Python Developer, AI engineer, data scientist, machine learning engineer, data engineer, back-end developer, full-stack developer, DevOps engineer, or software engineer. Let's celebrate the first step towards your Python success together!

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