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.
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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.
- 5 stars76.84%
- 4 stars17.57%
- 3 stars4.18%
- 2 stars0.70%
- 1 star0.67%
DATA COLLECTION AND PROCESSING WITH PYTHON의 최상위 리뷰
Excellent course. Highly recommended. I learned a lot about parts of Python that I was not previously proficient in. I will definitely use what I learned in a job that I'm just about to start.
Excellent. I learned a lot of useful information. The videos are good, and the final project put it all together ad a challenging exercise. Worth the time spend, that is for sure.
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.
The final assignment which requires secondary sort on string in rever order is genius! Took a lot of trial and error to get it right.\n\nReally learned the power of lambda and sorting
Python 3 Programming 특화 과정 정보
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.
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