This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.
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零基础 Python 入门 专项课程密歇根大学课程信息
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第 3 门课程（共 5 门）
完成时间大约为19 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将学到的内容有
Use regular expressions to extract data from strings
Understand the protocols web browsers use to retrieve documents and web apps
Retrieve data from websites and APIs using Python
Work with XML (eXtensible Markup Language) data
您将获得的技能
JsonXmlPython ProgrammingWeb Scraping
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 5 门）
完成时间大约为19 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
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密歇根大学
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
授课大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
Getting Started
In this section you will install Python and a text editor. In previous classes in the specialization this was an optional assignment, but in this class it is the first requirement to get started. From this point forward we will stop using the browser-based Python grading environment because the browser-based Python environment (Skulpt) is not capable of running the more complex programs we will be developing in this class.
完成时间为 3 小时
6 个视频 （总计 21 分钟）, 5 个阅读材料, 2 个测验
完成时间为 2 小时
Regular Expressions (Chapter 11)
Regular expressions are a very specialized language that allow us to succinctly search strings and extract data from strings. Regular expressions are a language unto themselves. It is not essential to know how to use regular expressions, but they can be quite useful and powerful.
完成时间为 2 小时
4 个视频 （总计 44 分钟）, 1 个阅读材料, 2 个测验
完成时间为 3 小时
Networks and Sockets (Chapter 12)
In this section we learn about the protocols that web browsers use to retrieve documents and web applications use to interact with Application Program Interfaces (APIs).
完成时间为 3 小时
8 个视频 （总计 68 分钟）, 1 个阅读材料, 2 个测验
完成时间为 4 小时
Programs that Surf the Web (Chapter 12)
In this section we learn to use Python to retrieve data from web sites and APIs over the Internet.
完成时间为 4 小时
8 个视频 （总计 58 分钟）, 1 个阅读材料, 3 个测验
审阅
来自使用 PYTHON 访问网络数据的热门评论
由 SM 提供Jun 18, 2020
This course was really interesting and did a good job introducing complicated topics in usefully simplified form. It was a pleasure to listen to the instructor and I got everything I wanted out of it.
由 AT 提供Aug 22, 2019
interesting course. well structured and paced with practical real-life examples and clear study materials. i strongly recommend this course for anyone considering learning python. Thank you Dr. Chuck!
由 MV 提供May 30, 2020
Highly recommended to anyone wants to learn the python to access web data, you will definitely learn the content smoothly with the awesome instructor, yeah, great instructor, i love his teaching style
由 KZ 提供Jul 2, 2017
This course is great to introduce you to regular expression, HTML, XML and JSON. Based on this course, you may dive into many other materials to further learning how to use python to access web data.
关于 零基础 Python 入门 专项课程
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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