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Data Collection and Processing with Python, Université du Michigan

4.6
65 notes
15 avis

À propos de ce cours

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 course is well-suited for you if you have already taken the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two. This is the third of five courses in the Python 3 Programming Specialization....

Meilleurs avis

par SH

Jan 29, 2019

Great course, with so many interactive exercises it really help to clear some confusion and make abstract concept easier to understand,

par A

Jan 17, 2019

Reading content is awesome. Videos are little bit boring. But it's okay when you get to learn so much.

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15 avis

par Lukas Flucht

Feb 12, 2019

The last Test was hard

par Juan David Cabrera

Feb 07, 2019

it is a little hard in the end project but its possible if you are persistent

par Luciana Meinking Guimaraes

Feb 06, 2019

This course is part 3 of a 5-course Specialization on Python 3. It is an excellent course. Courses 1 and 2 start at a very basic level but as the courses progress, the challenges improve and it gets actually quite interesting. The instructors have provided a valuable amount of exercises for us to practice. Prof. Resnick and his assistants are excellent instructors and you get bonus jokes at the end of each week, which I loved. Thank you all for creating this amazing specialization.

par Manish Kumar Thakur

Feb 02, 2019

most challenge course

par Mark Guimaraes

Jan 31, 2019

The final project allowed me to get a 100% grade even though i did not finish question #6. Over the past week there has been little to no response concerning questions about the course related to problems with the final project.

par yaacov teplow-phipps

Jan 30, 2019

Runestone project was buggy and added hours to work to complete

par Shiang-ping Hao

Jan 29, 2019

Great course, with so many interactive exercises it really help to clear some confusion and make abstract concept easier to understand,

par Igor Fomin

Jan 27, 2019

This course helped to understand such convinient thing as list comprehension, also it was really nice to work with API even without having API keys thanks to cached API's responses. I think that these parts are very practical, and I will use these things in the future. Though week's 3 theoretical part seemed to me a little bit long, and, probably, you should spend more time in the real Python environment, I still have enjoyed this course. Completion of the final project really gave me the feeling of personal achievement.

I'd like also to note that on the moment of completion of this course I haven't met same techical problems mentioned on the discusion forums by other participants of the course.

par Samuel Zhang

Jan 26, 2019

list comprehension is the coolest part for this course!

par harrison bueno

Jan 24, 2019

Only one instructor helped answering questions. Runestone (software used to practice) had bugs and they were fixed every 10 days or so after the instructor noticed on boards--thats how often he was on.