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.
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 stars76.82%
- 4 stars17.68%
- 3 stars4.12%
- 2 stars0.69%
- 1 star0.66%
來自DATA COLLECTION AND PROCESSING WITH PYTHON的熱門評論
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.
Very interesting and fine course, in this course I learn how to solve Nested data and new a new thing i.e REST API which seems best in course 3 now I am excited about course 4. Thanking you Michigan
Good course like the others in the specialization! I found the end of course project unnecessary difficult because there were some subtle errors from the assessment questions and grader.
I thought the material was presented okay. The exercise examples are now out of date and should be sourced elsewhere (tastedive is going away and OMDB now requires an API Key).
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.