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 stars76,82 %
- 4 stars17,68 %
- 3 stars4,12 %
- 2 stars0,69 %
- 1 star0,66 %
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.
I thoroughly enjoyed this course, and found myself often looking forward to Prof. Resnick's jokes. I also came to see the beauty and simplicity of Python. Great course. Great language.
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.
This course gives good introduction for working with basic built in data structure (list,dictionary and their nested structures ) and introductory knowledge to work with REST api's.
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.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Ist finanzielle Unterstützung möglich?
Haben Sie weitere Fragen? Besuchen Sie das Learner Help Center.