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.
提供方
課程信息
369,168 次近期查看
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 5 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為16 小時
英語（English）
字幕：英語（English）, 韓語
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 5 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為16 小時
英語（English）
字幕：英語（English）, 韓語
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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 6 小時
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.
完成時間為 6 小時
15 個視頻 （總計 127 分鐘）, 9 個閱讀材料, 3 個測驗
15 個視頻
How to Use the Interactive Textbook14分鐘
Introduction - Nested Data1分鐘
Nested Lists17分鐘
Nested Dictionaries6分鐘
JSON Format and the JSON Module7分鐘
Conclusion - Nested Data1分鐘
Introduction - Nested Iteration1分鐘
Nested Iteration19分鐘
Structuring Nested Data6分鐘
Shallow Copies7分鐘
Deep Copies10分鐘
Extracting from Nested Data13分鐘
A Worked Example of Nested Iteration6分鐘
Conclusion - Nested Iteration1分鐘
9 個閱讀材料
Syllabus10分鐘
Help Us Learn More About You!10分鐘
Introduction: Nested Data and Nested Iteration10分鐘
Nested Dictionaries10分鐘
Processing JSON Results10分鐘
Nested Iteration10分鐘
Structuring Nested Data10分鐘
Deep and Shallow Copies10分鐘
Extracting from Nested Data10分鐘
1 個練習
Optional - What Did You Use to Practice This Week?4分鐘
完成時間為 4 小時
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.
完成時間為 4 小時
13 個視頻 （總計 75 分鐘）, 5 個閱讀材料, 3 個測驗
13 個視頻
Map11分鐘
Filter8分鐘
Conclusion - Map and Filter2分鐘
Introduction - List Comprehensions1分鐘
List Comprehensions9分鐘
List Comprehensions Example 17分鐘
List Comprehensions Example 29分鐘
Conclusion - List Comprehensions1分鐘
Introduction - Zip40
Zip7分鐘
The Hangman Blanked Function13分鐘
Conclusion - Zip1分鐘
5 個閱讀材料
Introduction: Map, Filter, List Comprehensions, and Zip10分鐘
Map10分鐘
Filter10分鐘
List Comprehensions10分鐘
Zip10分鐘
1 個練習
Optional - What Did You Use to Practice This Week?4分鐘
完成時間為 6 小時
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.
完成時間為 6 小時
21 個視頻 （總計 118 分鐘）, 13 個閱讀材料, 2 個測驗
21 個視頻
URLs, Domain Names, and IP Addresses5分鐘
Routing3分鐘
HTTP: Behind the Scenes5分鐘
URL Query Parameters3分鐘
REST API URLs3分鐘
The requests Module5分鐘
Conclusion - REST APIs2分鐘
Introduction - Using REST APIs1分鐘
Generating URLs with requests.get5分鐘
Reading API Documentation: Datamuse7分鐘
Debugging Calls to requests.get5分鐘
Caching Response Content8分鐘
The requests_with_caching Module8分鐘
Conclusion - Using REST APIs1分鐘
Introduction - Practice with REST APIs49
iTunes API7分鐘
flickr API15分鐘
Conclusion - Practice with REST APIs1分鐘
Fun with the Google Places API19分鐘
Introduction - Final Course Project2分鐘
13 個閱讀材料
The Internet: Behind the Scenes10分鐘
Anatomy of URLs10分鐘
The HTTP Protocol10分鐘
Using REST APIs10分鐘
Fetching a Page10分鐘
Generating URLs with requests.get10分鐘
Figuring Out How to Use a REST API10分鐘
Debugging Calls to requests.get10分鐘
Caching Response Content10分鐘
Searching for Media on iTunes10分鐘
Searching for tags on Flickr10分鐘
Unicode for Non-English Characters10分鐘
Course Feedback10分鐘
審閱
來自DATA COLLECTION AND PROCESSING WITH PYTHON的熱門評論
由 EW 提供2020年4月23日
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2019年10月9日
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 A 提供2020年7月9日
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 SS 提供2019年8月27日
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
關於 Python 3 Programming 專項課程
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.
You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.
By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.
This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.
But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.
常見問題
我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
- 课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
- 课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
有助学金吗？
是的，Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤，包括毕业项目。了解更多。
完成课程后，我会获得大学学分吗？
此课程不提供大学学分，但部分大学可能会选择接受课程证书作为学分。查看您的合作院校，了解详情。Coursera 上的在线学位和 Mastertrack™ 证书提供获得大学学分的机会。
還有其他問題嗎？請訪問 學生幫助中心。
