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.
本課程是 Python 3 Programming 專項課程 專項課程的一部分
Data Collection and Processing with Python
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課程信息
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第 3 門課程（共 5 門）
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中級
完成時間大約為16 小時
建議：17 hours/week
英語（English）
字幕：英語（English）, 韓語
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 Data1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
4.7
168 條評論來自Data Collection and Processing with Python的熱門評論
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.
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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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.
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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