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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课程信息
670,481 次近期查看
学生职业成果
34%
完成这些课程后已开始新的职业生涯
33%
通过此课程获得实实在在的工作福利
15%
加薪或升职
您将获得的技能
JsonXmlPython ProgrammingWeb Scraping
学生职业成果
34%
完成这些课程后已开始新的职业生涯
33%
通过此课程获得实实在在的工作福利
15%
加薪或升职
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 5 门）
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完成时间大约为16 小时
建议：6 weeks of study, 2-4 hours/week
英语（English）
字幕：英语（English）, 韩语
教学大纲 - 您将从这门课程中学到什么
完成时间为 2 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 2 小时
6 个视频 （总计 21 分钟）, 5 个阅读材料, 1 个测验
6 个视频
Welcome to Python - Guido van Rossum1分钟
Windows 10: Installing Python and Writing A Program8分钟
Windows: Taking Screen Shots2分钟
Macintosh: Using Python and Writing A Program4分钟
Macintosh: Taking Screen Shots4分钟
5 个阅读材料
Python Textbook10分钟
Help us learn more about you!10分钟
Welcome to Python 310分钟
Notes on Choice of Text Editor10分钟
Notice for Auditing Learners: Assignment Submission10分钟
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
4 个视频
11.2 - Extracting Data15分钟
Bonus: Office Hours - Den Haag2分钟
Bonus Interview: Bjarne Stroustrup - C++15分钟
1 个阅读材料
Python Regular Expression Quick Guide10分钟
1 个练习
Regular Expressions20分钟
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
8 个视频
12.2 - Hypertext Transfer Protocol (HTTP)14分钟
Worked Example: Sockets (Chapter 12)6分钟
Using the Developer Console to Explore HTTP10分钟
Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET13分钟
Bonus Video: Robert Cailliau - co-Inventor of the Web9分钟
Bonus: Office Hours - Atlanta GA (Buckhead)3分钟
Fun: Dr. Chuck @ CNN Reading the News4分钟
1 个阅读材料
If You Want to Learn More10分钟
1 个练习
Networks and Sockets20分钟
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
8 个视频
12.4 - Retrieving Web Pages6分钟
Worked Example: Using Urllib (Chapter 12)3分钟
12.5 - Parsing Web Pages9分钟
Worked Example: BeautifulSoup (Chapter 12)9分钟
Bonus: Office Hours - Montreal4分钟
Bonus Interview: Tim Berners-Lee - Inventing the Web1分钟
Fun: I Got My Mojo Working - Geneva, Switzerland5分钟
1 个阅读材料
Notes Regarding the Use of BeautifulSoup10分钟
1 个练习
Reading Web Data From Python26分钟
4.8
4,435 条评论来自使用 Python 访问网络数据的热门评论
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Practical assignments
(217)High quality content
(256)I have not found an easy way to learn how to code with python language. Mentor are really helpful and Dr Chuck is one of the most self explain professor that I have met in my three university career.
Getting a bit more challenging than the earlier courses in the specialization. The exercises require more struggle, but all the information is there. Another step along the way. Thank you, Dr. Chuck!
关于 密歇根大学
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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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