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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-process-automation-course/
课程评论：没有评论
课程名称：Python过程自动化课程 课程概述：本课程专为中级学习者设计，旨在帮助您使用Python自动化重复任务，简化工作流程。您将掌握实际技术，构建强大的自动化脚本以应对现实场景，主要涵盖以下四个核心领域： 1. **网页自动化与数据提取**：学习如何抓取网站、与API进行交互，并使用BeautifulSoup、Requests和Selenium等工具解析动态内容的数据。 2. **文件与文档处理**：自动处理PDF（使用PyPDF2、ReportLab）、Excel/CSV文件（使用Pandas、OpenPyXL）和图像（使用Pillow），包括批量操作和格式转换。 3. **图形用户界面与桌面自动化**：使用PyAutoGUI和Selenium控制应用程序和浏览器，模拟点击、击键和表单提交，适用于数据输入或测试等任务。 4. **调度与部署**：使用Cron（Linux）、任务调度器（Windows）或云工具调度脚本自动运行，采用日志记录/错误处理最佳实践以确保可靠性。 课程的最后，您将进行一个顶点项目，将所学技能整合，自动化日常工作流程，例如汇总报告、整理文件或发送定期通知，从而节省大量手动工作时间。 **关键工具与库**：Python、Pandas、Selenium、PyAutoGUI、Requests、SQLite等。 **适合对象**：在数据分析、IT或行政方面寻求提高效率的专业人士；希望扩展自动化/机器人过程自动化（RPA）的开发者；希望用代码解决实际问题的爱好者。 **先决条件**：具备基本的Python知识（循环、函数、文件I/O）。 **学习成果**：课程结束时，您将能够设计、调试和部署多种用例的自动化脚本，从而提高个人和专业项目的生产力。
Automate repetitive tasks and streamline workflows with Python in this hands-on course designed for intermediate learners. You'll master practical techniques to build robust automation scripts for real-world scenarios, covering four core areas:Web Automation & Data Extraction: Learn to scrape websites, interact with APIs, and parse data using tools like BeautifulSoup, Requests, and Selenium for dynamic content.File & Document Processing: Automate handling of PDFs (PyPDF2, ReportLab), Excel/CSV files (Pandas, OpenPyXL), and images (Pillow), including batch operations and format conversions.GUI & Desktop Automation: Control applications and browsers with PyAutoGUI and Selenium, simulating clicks, keystrokes, and form submissions for tasks like data entry or testing.Scheduling & Deployment: Schedule scripts to run autonomously using Cron (Linux), Task Scheduler (Windows), or cloud tools, and adopt logging/error-handling best practices for reliability.The course culminates in a capstone project where you'll integrate all skills to automate a daily workflow-such as aggregating reports, organizing files, or sending scheduled notifications-saving hours of manual effort.Key Tools & Libraries: Python, Pandas, Selenium, PyAutoGUI, Requests, SQLite, and more.Who Should Enroll?Professionals in data analysis, IT, or administration seeking efficiency.Developers expanding into automation/RPA (Robotic Process Automation).Hobbyists eager to solve real problems with code.Prerequisites: Basic Python knowledge (loops, functions, file I/O).Outcomes: By the end, you'll be able to design, debug, and deploy automation scripts for diverse use cases, enhancing productivity in personal and professional projects.
