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.
- 5 stars80.83%
- 4 stars15.69%
- 3 stars2.63%
- 2 stars0.46%
- 1 star0.35%
來自使用 PYTHON 访问网络数据的熱門評論
It is a very good course even for an absolute beginner. Gives knowledge of what APIs, web scraping, different web protocols. Dr. Severence is engaging and very good at explaining hard things easily.
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.
I have not found an easy way to learn how to code with python language. Mentor are really helpful and Dr Chuck is one of the most self explain professor that I have met in my three university career.
Interesting course, I consider information about XML and JSON as very informative. I will continue specialization "Python For Everybody". Thanks for Dr. Chuck and everyone, who created this material.