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 stars80.85%
- 4 stars15.70%
- 3 stars2.62%
- 2 stars0.46%
- 1 star0.34%
來自使用 PYTHON 访问网络数据的熱門評論
Great course. The lectures are clear and thorough. The assignments are challenging yet doable. The only thing I would like is to see more assignments to get more practice with the techniques learned.
The course is very good. However the course covers only the basics of how to use python to access web data. It would have been good to add an assignment to use REST APIs in the real world scenario.
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 is great to introduce you to regular expression, HTML, XML and JSON. Based on this course, you may dive into many other materials to further learning how to use python to access web data.