本課程是 Python 3 Programming 專項課程專項課程的一部分

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Paul Resnick 另外 +1 位授課教師

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Python 3 Programming 專項課程密歇根大学

課程信息

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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 門課程（共 5 門）

Python 3 Programming 專項課程

中級

完成時間大約為16 小時

英語（English）

字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）

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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）

Python 3 Programming 專項課程

中級

完成時間大約為16 小時

英語（English）

授課教師

授課教師評分

4.75/5 （355 個評分）

Paul Resnick

Michael D. Cohen Collegiate Professor

School of Information

322,313 個學生

4 門課程

Jaclyn Cohen

Lecturer

School of Information

305,925 個學生

3 門課程

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.

授課大綱 - 您將從這門課程中學到什麼

內容評分97%（7,198 個評分）

週

週 1

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）, 10 個閱讀材料, 3 個測驗

15 個視頻

Introduction to the Specialization11分鐘

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

10 個閱讀材料

Syllabus10分鐘

Help Us Learn More About You!10分鐘

Syllabus10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

週

週 2

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

Introduction - Map and Filter1分鐘

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

週

週 3

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）, 14 個閱讀材料, 2 個測驗

21 個視頻

Introduction - REST APIs2分鐘

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

14 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

Keep Learning with Michigan Online10分鐘

審閱

4.7

572 條評論

5 stars
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4 stars
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3 stars
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2 stars
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1 star
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來自DATA COLLECTION AND PROCESSING WITH PYTHON的熱門評論

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 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 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

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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.

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Data Collection and Processing with Python

課程信息