本课程是 Python 3 Programming 专项课程专项课程的一部分

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Paul Resnick 另外 +1 位授课教师

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Python 3 Programming 专项课程密歇根大学

课程信息

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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.
The course is well-suited for you if you have already taken the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.

This is the third of five courses in the Python 3 Programming Specialization.

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第 3 门课程（共 5 门）

Python 3 Programming 专项课程

中级

完成时间大约为16 小时

英语（English）

字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）

可灵活调整截止日期

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可分享的证书

完成后获得证书

100% 在线

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第 3 门课程（共 5 门）

Python 3 Programming 专项课程

中级

完成时间大约为16 小时

英语（English）

讲师

授课教师评分

4.75/5 （330 个评分）

Paul Resnick

Michael D. Cohen Collegiate Professor

School of Information

313,874 个学生

4 门课程

Jaclyn Cohen

Lecturer

School of Information

297,883 个学生

3 门课程

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.

授课大纲 - 您将从这门课程中学到什么

内容评分98%（7,016 个评分）

周

周 1

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

Introduction to the Specialization11分钟

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

周

周 2

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

Introduction - Map and Filter1分钟

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

周

周 3

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

Introduction - REST APIs2分钟

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

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来自DATA COLLECTION AND PROCESSING WITH PYTHON的热门评论

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 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 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

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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.

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.

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Data Collection and Processing with Python

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