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.
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.
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DATA COLLECTION AND PROCESSING WITH PYTHON からの人気レビュー
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.
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
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.
Python 3 Programming専門講座について
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