課程信息
59,905 次近期查看

Learner Career Outcomes

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15 小時

建議:15 hours/week...

英語(English)

字幕:英語(English), 韓語

Learner Career Outcomes

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15 小時

建議:15 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

1
完成時間為 6 小時

Nested Data and Nested Iteration

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
2
完成時間為 4 小時

Map, Filter, and List Comprehensions

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, and List Comprehensions10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
3
完成時間為 6 小時

Internet APIs

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
How the Internet Works10分鐘
Anatomy of URLs10分鐘
The HTTP Protocol10分鐘
Using REST APIs10分鐘
Fetching a Page with the requests Module10分鐘
Generating URLs with requests.get10分鐘
Reading API Documentation: Datamuse10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
115 條評論Chevron Right

來自Data Collection and Processing with Python的熱門評論

創建者 CMOct 10th 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.

創建者 SSAug 28th 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

講師

Avatar

Paul Resnick

Michael D. Cohen Collegiate Professor
School of Information
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Jaclyn Cohen

Lecturer
School of Information

關於 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....
Python 3 Programming

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