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Learner Reviews & Feedback for Using Python to Access Web Data by University of Michigan

4.8
stars
44,350 ratings

About the Course

This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3....
Highlights
High quality content

(256 Reviews)

Practical assignments

(217 Reviews)

Top reviews

AH

Mar 4, 2016

Gah! The second last assignment...for items in data['comments'] :Took me an hour to figure out that I needed to add that last bit in brackets! It just did the for loop twice each time... All the best!

SM

Jun 19, 2020

This course was really interesting and did a good job introducing complicated topics in usefully simplified form. It was a pleasure to listen to the instructor and I got everything I wanted out of it.

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7551 - 7575 of 7,983 Reviews for Using Python to Access Web Data

By Jayashree G

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Sep 18, 2020

meh!

By PRIYANKA K

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Sep 8, 2020

Nice

By mahmoud K s

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Sep 8, 2020

good

By Sweta c

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Aug 24, 2020

good

By Aman R

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Aug 8, 2020

nice

By Sneha S

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Jul 25, 2020

nice

By Muhammad F H

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Jul 21, 2020

good

By rehan s

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Jul 18, 2020

good

By Sazida I N

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Jul 5, 2020

good

By Bodalapalle P S

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Jun 17, 2020

good

By Manali G

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Jun 1, 2020

good

By ABHISHEK C

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Apr 17, 2020

good

By VIGNESHKUMAR R

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Nov 20, 2019

good

By Deleted A

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Mar 4, 2019

Good

By Ankamreddi D

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May 26, 2018

good

By Putchakayala P

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May 26, 2018

good

By Akhilesh G

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Jun 21, 2017

Good

By Mohammad M H

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Dec 12, 2016

good

By 梁嘉琪

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Oct 15, 2016

Good

By 杨初斌

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Oct 8, 2016

good

By prakhar g r

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Apr 12, 2016

nice

By donganlan

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Dec 15, 2015

nice

By Michael H

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Nov 22, 2016

4/5

By Yao G

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Feb 18, 2019

y

By Steven R

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Mar 11, 2017

W