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.
このコースはPython 3 Programming の専門講座に属します。
Data Collection and Processing with Python
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このコースについて
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自分のスケジュールですぐに学習を始めてください。
次における5の3コース
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中級レベル
約23時間で修了
英語
字幕：英語, 韓国語
提供：
ミシガン大学（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.
シラバス - 本コースの学習内容
6時間で修了
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.
6時間で修了
15件のビデオ （合計127分）, 9 readings, 3 quizzes
15件のビデオ
How to Use the Interactive Textbook14 分
Introduction - Nested Data1 分
Nested Lists17 分
Nested Dictionaries6 分
JSON Format and the JSON Module7 分
Conclusion - Nested Data1 分
Introduction - Nested Iteration1 分
Nested Iteration19 分
Structuring Nested Data6 分
Shallow Copies7 分
Deep Copies10 分
Extracting from Nested Data13 分
A Worked Example of Nested Iteration6 分
Conclusion - Nested Data1 分
9件の学習用教材
Syllabus10 分
Help Us Learn More About You!10 分
Introduction: Nested Data and Nested Iteration10 分
Nested Dictionaries10 分
Processing JSON Results10 分
Nested Iteration10 分
Structuring Nested Data10 分
Deep and Shallow Copies10 分
Extracting from Nested Data10 分
1の練習問題
Optional - What Did You Use to Practice This Week?4 分
4時間で修了
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.
4時間で修了
13件のビデオ （合計75分）, 5 readings, 3 quizzes
13件のビデオ
Map11 分
Filter8 分
Conclusion - Map and Filter2 分
Introduction - List Comprehensions1 分
List Comprehensions9 分
List Comprehensions Example 17 分
List Comprehensions Example 29 分
Conclusion - List Comprehensions1 分
Introduction - Zip40
Zip7 分
The Hangman Blanked Function13 分
Conclusion - Zip1 分
5件の学習用教材
Introduction: Map, Filter, List Comprehensions, and Zip10 分
Map10 分
Filter10 分
List Comprehensions10 分
Zip10 分
1の練習問題
Optional - What Did You Use to Practice This Week?4 分
6時間で修了
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.
6時間で修了
21件のビデオ （合計118分）, 13 readings, 2 quizzes
21件のビデオ
URLs, Domain Names, and IP Addresses5 分
Routing3 分
HTTP: Behind the Scenes5 分
URL Query Parameters3 分
REST API URLs3 分
The requests Module5 分
Conclusion - REST APIs2 分
Introduction - Using REST APIs1 分
Generating URLs with requests.get5 分
Reading API Documentation: Datamuse7 分
Debugging Calls to requests.get5 分
Caching Response Content8 分
The requests_with_caching Module8 分
Conclusion - Using REST APIs1 分
Introduction - Practice with REST APIs49
iTunes API7 分
flickr API15 分
Conclusion - Practice with REST APIs1 分
Fun with the Google Places API19 分
Introduction - Final Course Project2 分
13件の学習用教材
The Internet: Behind the Scenes10 分
Anatomy of URLs10 分
The HTTP Protocol10 分
Using REST APIs10 分
Fetching a Page10 分
Generating URLs with requests.get10 分
Figuring Out How to Use a REST API10 分
Debugging Calls to requests.get10 分
Caching Response Content10 分
Searching for Media on iTunes10 分
Searching for tags on Flickr10 分
Unicode for Non-English Characters10 分
Course Feedback10 分
レビュー
4.7
DATA COLLECTION AND PROCESSING WITH PYTHON からの人気レビュー
CMにより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.
SSにより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
JAによりFeb 10, 2020
Excellent understunding of programming. Advanced concepts such list comprenhension, map and zip make me review my way of thinking, producing better and shorten coding.\n\nThxs to the Instructors.
SSによりAug 21, 2019
Awesome content and guidance with top of the line applications for application of knowledge acquired throughout the course. It covers the basics and then implements higher order topics over them.
DLによりOct 13, 2019
This course provides a good intro to working with data and internet apis in the json format using python. Definitely feel confident in digging deeper with APIs on my own after taking this class.
ARによりJan 24, 2020
Excellent coursework and exercises to learn, especially for beginners -\n\nReally liked the presentation and constant support - seems like they know how people think while learning python :)
HJによりJan 25, 2020
Another solid course in python programming specialization. After taking this course, you will be able to call data from API and manipulate nasty and unorganized set of dictionary and lists.
OHによりFeb 13, 2020
Once more very useful lessons. Be careful on the final project though, it is more prone to errors (even ones you might not be responsible for) than anything else up to this point.
Python 3 Programming専門講座について
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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