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学生对 University of Michigan 提供的 Using Python to Access Web Data 的评价和反馈

4.8
44,497 个评分

课程概述

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....
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High quality content

(256 条评论)

Practical assignments

(217 条评论)

热门审阅

AG

Sep 12, 2017

The course teaches the basics of how to interact with the internet using Python. The course is simple, well explained, has great interviews with people who were part of the creation of the internet.

MP

Apr 7, 2016

This course is really very useful.The effort given by Dr.Chuck is very appriciateable and this course is very interesting as well because many great programmer told their history of discovered thing.

筛选依据:

2251 - Using Python to Access Web Data 的 2275 个评论(共 8,012 个)

创建者 Jaime E

Oct 2, 2020

Excelente forma de explicar, ejemplos muy claros. Muy contento con lo aprendido.

创建者 Gonzalo F B

Aug 25, 2020

I felt a little confused, but at the end i can solve some issues about web logic

创建者 Ankur S

Aug 10, 2020

very helpfull for those who want to explore pyhon libraries and its applications

创建者 Akmal A

Jul 20, 2020

Great introductory course that gives you more than just the surface of knowledge

创建者 Mohammad D

Jul 20, 2020

I strongly recommend this course if you are a internet geek or what to be one :)

创建者 Siddhi K W

Jun 25, 2020

A very very useful course....Got to know and use the different aspects of python

创建者 Umer A D

Jun 17, 2020

good course for learning web stuff with overall view of most technologies in use

创建者 Daryl D

Jun 6, 2020

Kudos to the platform coursera and dr. chuck. very user friendly. clear lectures

创建者 AISHWARYA V

May 20, 2020

Tough topic presented in an easy way. Great explanation by Dr. Charles Severance

创建者 Amangeldy S

May 17, 2020

nice course, recommended to add here mini project as parsing weather or Facebook

创建者 Alavala M S

May 5, 2020

Learnt many intresting modules in python and also accessing the data through web

创建者 Adith R K

Apr 23, 2020

Learned many things from this course. Thanks Dr.Chuck for this wonderful course.

创建者 David O

Jan 2, 2020

Great course. Amazing how far Dr Chuck takes you in such a short period of time.

创建者 Andy X

Jul 21, 2019

A useful and interesting course, but I think the BeatifulSoup needs more explain

创建者 Alice

Mar 23, 2019

Quite challenging - make sure you have paid attention in the previous courses :)

创建者 mahesh s

Dec 18, 2018

we are learning advance python concepts in this certification thanks to coursera

创建者 Devon E D

May 9, 2018

Great course although it was kind of tough, but good info if you like web topics

创建者 Yayamaha

May 4, 2018

Very clear!

It's fun for me to learn how to extract data from files or websites!

创建者 乃毅 王

May 4, 2018

Help me a lot with demonstrating elaborately how xml and json work. Many thanks!

创建者 Alexey P

Oct 15, 2017

Good course, interviews with Roy Fielding and Ian Horrocks are very nice extras.

创建者 Eric K

Sep 17, 2017

It was a really fun course. The instructor enjoys teaching and I enjoy learning.

创建者 Stefanie K

Jul 25, 2017

Great course that explains web access via python in an easy to understand format

创建者 [email protected]

Jul 21, 2017

Good course, I learn a lot about web data and how to parse the web using python.

创建者 Manuel d j t

Mar 11, 2017

Excellent Python web access , examples and practice real cases. Great Teaching!!

创建者 lucas D P N

Jan 11, 2017

It's a well planned course and its content is used daily for a python developer.