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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課程信息
582,776 次近期查看
您將學到的內容有
Retrieve data from websites and APIs using Python
Understand the protocols web browsers use to retrieve documents and web apps
Use regular expressions to extract data from strings
Work with XML (eXtensible Markup Language) data
您將獲得的技能
JsonXmlPython ProgrammingWeb Scraping
學習Course的學生是
- Traders
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- Biostatisticians
- Financial Analysts
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
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.
6 個視頻 （總計 21 分鐘）, 5 個閱讀材料, 1 個測驗
6 個視頻
Welcome to Python - Guido van Rossum1分鐘
Windows 10: Installing Python and Writing A Program8分鐘
Windows: Taking Screen Shots2分鐘
Macintosh: Using Python and Writing A Program4分鐘
Macintosh: Taking Screen Shots4分鐘
5 個閱讀材料
Python Textbook10分鐘
Help us learn more about you!10分鐘
Welcome to Python 310分鐘
Notes on Choice of Text Editor10分鐘
Notice for Auditing Learners: Assignment Submission10分鐘
週
2完成時間為 2 小時
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.
4 個視頻 （總計 44 分鐘）, 1 個閱讀材料, 2 個測驗
4 個視頻
11.2 - Extracting Data15分鐘
Bonus: Office Hours - Den Haag2分鐘
Bonus Interview: Bjarne Stroustrup - C++15分鐘
1 個閱讀材料
Python Regular Expression Quick Guide10分鐘
1 個練習
Regular Expressions20分鐘
週
3完成時間為 3 小時
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).
8 個視頻 （總計 68 分鐘）, 1 個閱讀材料, 2 個測驗
8 個視頻
12.2 - Hypertext Transfer Protocol (HTTP)14分鐘
Worked Example: Sockets (Chapter 12)6分鐘
Using the Developer Console to Explore HTTP10分鐘
Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET13分鐘
Bonus Video: Robert Cailliau - co-Inventor of the Web9分鐘
Bonus: Office Hours - Atlanta GA (Buckhead)3分鐘
Fun: Dr. Chuck @ CNN Reading the News4分鐘
1 個閱讀材料
If You Want to Learn More10分鐘
1 個練習
Networks and Sockets20分鐘
週
4完成時間為 4 小時
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.
8 個視頻 （總計 58 分鐘）, 1 個閱讀材料, 3 個測驗
8 個視頻
12.4 - Retrieving Web Pages6分鐘
Worked Example: Using Urllib (Chapter 12)3分鐘
12.5 - Parsing Web Pages9分鐘
Worked Example: BeautifulSoup (Chapter 12)9分鐘
Bonus: Office Hours - Montreal4分鐘
Bonus Interview: Tim Berners-Lee - Inventing the Web1分鐘
Fun: I Got My Mojo Working - Geneva, Switzerland5分鐘
1 個閱讀材料
Notes Regarding the Use of BeautifulSoup10分鐘
1 個練習
Reading Web Data From Python26分鐘
4.8
4042 個審閱34%
完成這些課程後已開始新的職業生涯
33%
通過此課程獲得實實在在的工作福利
15%
加薪或升職
來自使用 Python 访问网络数据的熱門評論
突出顯示
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!
講師
Charles Russell Severance
Clinical ProfessorSchool of Information
關於 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.
關於 零基础 Python 入门 專項課程
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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