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.
Über diesen Kurs
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.
- 5 stars76,85 %
- 4 stars17,61 %
- 3 stars4,15 %
- 2 stars0,70 %
- 1 star0,67 %
Top-Bewertungen von DATA COLLECTION AND PROCESSING WITH PYTHON
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.
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
The class is very basic. Excellent for people without a programming background. Slow for those who do, but you can skip through concepts you already understand. The exercises are very useful.
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
Über den Spezialisierung Python 3 Programming
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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