Python for Everybody 专项课程

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.

100% 在线课程

立即开始，按照自己的计划学习。

完成时间大约为12 小时

建议：6 weeks of study, 2-4 hours/week

English

字幕：English

您将学到的内容有

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

您将获得的技能

Python ProgrammingJsonXmlApplication Programming Interfaces

100% 在线课程

立即开始，按照自己的计划学习。

完成时间大约为12 小时

建议：6 weeks of study, 2-4 hours/week

English

字幕：English

Syllabus - What you will learn from this course

1

Section

2 hours to complete

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 videos (Total 21 min), 5 readings, 1 quiz

6 videos

Welcome to The Course0m

Welcome to Python - Guido van Rossum1m

Windows 10: Installing Python and Writing A Program8m

Windows: Taking Screen Shots2m

Macintosh: Using Python and Writing A Program4m

Macintosh: Taking Screen Shots4m

5 readings

Python Textbook10m

Help us learn more about you!10m

Welcome to Python 310m

Notes on Choice of Text Editor10m

Notice for Auditing Learners: Assignment Submission10m

2

Section

2 hours to complete

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 videos (Total 44 min), 1 reading, 2 quizzes

4 videos

11.1 - Regular Expressions10m

11.2 - Extracting Data15m

Bonus: Office Hours - Den Haag2m

Bonus Interview: Bjarne Stroustrup - C++15m

1 readings

Python Regular Expression Quick Guide10m

1 practice exercises

Regular Expressions20m

3

Section

2 hours to complete

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)....

7 videos (Total 58 min), 1 reading, 2 quizzes

7 videos

12.1 - Networked Technology7m

12.2 - Hypertext Transfer Protocol (HTTP)14m

Worked Example: Sockets (Chapter 12)6m

Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET13m

Bonus Video: Robert Cailliau - co-Inventor of the Web9m

Bonus: Office Hours - Atlanta GA (Buckhead)3m

Fun: Dr. Chuck @ CNN Reading the News4m

1 readings

If You Want to Learn More10m

1 practice exercises

Networks and Sockets20m

4

Section

4 hours to complete

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 videos (Total 58 min), 1 reading, 3 quizzes

8 videos

12.3 - Unicode Characters and Strings17m

12.4 - Retrieving Web Pages6m

Worked Example: Using Urllib (Chapter 12)3m

12.5 - Parsing Web Pages9m

Worked Example: BeautifulSoup (Chapter 12)9m

Bonus: Office Hours - Montreal4m

Bonus Interview: Tim Berners-Lee - Inventing the Web1m

Fun: I Got My Mojo Working - Geneva, Switzerland5m

1 readings

Notes Regarding the Use of BeautifulSoup10m

1 practice exercises

Reading Web Data From Python26m

5

Section

2 hours to complete

Web Services and XML (Chapter 13)

In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data....

8 videos (Total 62 min), 2 quizzes

8 videos

13.1 - Data on the Web4m

13.2 eXtensible Markup Language (XML)8m

13.3 - XML Schema10m

13.4 - Parsing XML10m

Worked Example: XML (Chapter 13)6m

Interview: Roy Fielding - Understanding the REST Architecture10m

Bonus: Office Hours - Boston2m

Bonus Video: Ian Horrocks / RDF / OWL (Advanced)7m

1 practice exercises

eXtensible Markup Language20m

6

Section

4 hours to complete

JSON and the REST Architecture (Chapter 13)

In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format....

12 videos (Total 95 min), 2 readings, 3 quizzes

12 videos

13.5 - JavaScript Object Notation (JSON)9m

Worked Example: JSON (Chapter 13)5m

Interview: Douglas Crockford - Discovering JSON7m

13.6 - Service Oriented Approach2m

Video: Service Oriented Architectures5m

13.7 - Using Application Programming Interfaces8m

Worked Example: GeoJSON API (Chapter 13)7m

13.8 - Securing API Requests11m

Worked Example: Twitter API (Chapter 13)19m

Bonus: Office Hours - Melbourne, AU1m

Bonus: Office Hours - Santa Monica, CA7m

Bonus: Class Reunion at Bletchley Park9m

2 readings

Please Rate this Course on Class-Central10m

Post-Course Survey10m

1 practice exercises

REST, JSON, and APIs20m

Instructor

Charles Severance

Associate Professor

About University of Michigan

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....

Frequently Asked Questions

When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
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Python for Everybody 专项课程