課程信息
專項課程

第 3 門課程(共 5 門)

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100% 在線

立即開始,按照自己的計劃學習。
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中級

中級

完成時間(小時)

完成時間大約為9 小時

建議:8 hours/week...
可選語言

英語(English)

字幕:英語(English)
專項課程

第 3 門課程(共 5 門)

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為9 小時

建議:8 hours/week...
可選語言

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
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....
Reading
15 個視頻 (總計 127 分鐘), 9 個閱讀材料, 3 個測驗
Video15 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
Reading9 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
Quiz1 個練習
Optional - What Did You Use to Practice This Week?4分鐘
2
完成時間(小時)
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....
Reading
13 個視頻 (總計 75 分鐘), 5 個閱讀材料, 3 個測驗
Video13 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 - Zip40s
Zip7分鐘
The Hangman Blanked Function13分鐘
Conclusion - Zip1分鐘
Reading5 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
Quiz1 個練習
Optional - What Did You Use to Practice This Week?4分鐘
3
完成時間(小時)
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....
Reading
21 個視頻 (總計 118 分鐘), 13 個閱讀材料, 2 個測驗
Video21 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 APIs49s
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
Reading13 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

講師

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Paul Resnick

Michael D. Cohen Collegiate Professor
School of Information
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Jaclyn Cohen

Lecturer
School of Information

關於 University of Michigan

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

常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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