This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.
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课程信息
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学生职业成果
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通过此课程获得实实在在的工作福利
14%
加薪或升职
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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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中级
完成时间大约为16 小时
英语（English）
字幕：英语（English）, 韩语
学生职业成果
12%
通过此课程获得实实在在的工作福利
14%
加薪或升职
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）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为16 小时
英语（English）
字幕：英语（English）, 韩语
提供方
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.
教学大纲 - 您将从这门课程中学到什么
完成时间为 6 小时
Nested Data and Nested Iteration
In week one the video lectures and activities from the Runestone textbook will cover more complex data structures. By the end of this week, you will have learned how to process json formatted data, traverse nested data using nested iteration, and extract values from nested data.
完成时间为 6 小时
15 个视频 （总计 127 分钟）, 9 个阅读材料, 3 个测验
15 个视频
How to Use the Interactive Textbook14分钟
Introduction - Nested Data1分钟
Nested Lists17分钟
Nested Dictionaries6分钟
JSON Format and the JSON Module7分钟
Conclusion - Nested Data1分钟
Introduction - Nested Iteration1分钟
Nested Iteration19分钟
Structuring Nested Data6分钟
Shallow Copies7分钟
Deep Copies10分钟
Extracting from Nested Data13分钟
A Worked Example of Nested Iteration6分钟
Conclusion - Nested Iteration1分钟
9 个阅读材料
Syllabus10分钟
Help Us Learn More About You!10分钟
Introduction: Nested Data and Nested Iteration10分钟
Nested Dictionaries10分钟
Processing JSON Results10分钟
Nested Iteration10分钟
Structuring Nested Data10分钟
Deep and Shallow Copies10分钟
Extracting from Nested Data10分钟
1 个练习
Optional - What Did You Use to Practice This Week?4分钟
完成时间为 4 小时
Map, Filter, and List Comprehensions
In week two you will be learning more advanced forms of accumulation. By the end of the week, you will have learned how to use the map and filter functions in combination with functions to transform or filter out data and store the resulting data in a new object. You will have also learned how to accumulate data using a list comprehension.
完成时间为 4 小时
13 个视频 （总计 75 分钟）, 5 个阅读材料, 3 个测验
13 个视频
Map11分钟
Filter8分钟
Conclusion - Map and Filter2分钟
Introduction - List Comprehensions1分钟
List Comprehensions9分钟
List Comprehensions Example 17分钟
List Comprehensions Example 29分钟
Conclusion - List Comprehensions1分钟
Introduction - Zip40
Zip7分钟
The Hangman Blanked Function13分钟
Conclusion - Zip1分钟
5 个阅读材料
Introduction: Map, Filter, List Comprehensions, and Zip10分钟
Map10分钟
Filter10分钟
List Comprehensions10分钟
Zip10分钟
1 个练习
Optional - What Did You Use to Practice This Week?4分钟
完成时间为 6 小时
Internet APIs
In week three you will learn how to request data from the internet using Application Programming Interfaces (APIs). By the end of the week, you will have learned how to access data from a few APIs, cache data that you have requested, and also learned how to read and work with other APIs that were not touched on in the module.
完成时间为 6 小时
21 个视频 （总计 118 分钟）, 14 个阅读材料, 2 个测验
21 个视频
URLs, Domain Names, and IP Addresses5分钟
Routing3分钟
HTTP: Behind the Scenes5分钟
URL Query Parameters3分钟
REST API URLs3分钟
The requests Module5分钟
Conclusion - REST APIs2分钟
Introduction - Using REST APIs1分钟
Generating URLs with requests.get5分钟
Reading API Documentation: Datamuse7分钟
Debugging Calls to requests.get5分钟
Caching Response Content8分钟
The requests_with_caching Module8分钟
Conclusion - Using REST APIs1分钟
Introduction - Practice with REST APIs49
iTunes API7分钟
flickr API15分钟
Conclusion - Practice with REST APIs1分钟
Fun with the Google Places API19分钟
Introduction - Final Course Project2分钟
14 个阅读材料
The Internet: Behind the Scenes10分钟
Anatomy of URLs10分钟
The HTTP Protocol10分钟
Using REST APIs10分钟
Fetching a Page10分钟
Generating URLs with requests.get10分钟
Figuring Out How to Use a REST API10分钟
Debugging Calls to requests.get10分钟
Caching Response Content10分钟
Searching for Media on iTunes10分钟
Searching for tags on Flickr10分钟
Unicode for Non-English Characters10分钟
Course Feedback10分钟
Keep Learning with Michigan Online10分钟
审阅
来自DATA COLLECTION AND PROCESSING WITH PYTHON的热门评论
由 A 提供Jul 9, 2020
Very interesting and fine course, in this course I learn how to solve Nested data and new a new thing i.e REST API which seems best in course 3 now I am excited about course 4. Thanking you Michigan
由 EW 提供Apr 23, 2020
Very good course until the final project. There are a lot of bugs that caused me and what seems like a lot of other students to have to spend a great deal of time on it. This time wasn't productive.
由 CM 提供Oct 9, 2019
This was a really excellent course. The functional project at the end helped me understand how recommendation systems work and now I'm very excited to try to build a similar system for books I love.
由 SS 提供Aug 27, 2019
Excellent course which teaches how to process request, extract and process Internet data in a simple and step by step approach. I have gained invaluable skills how to handle large data with Python
关于 Python 3 Programming 专项课程
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
常见问题
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我订阅此专项课程后会得到什么？
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