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.
Bonus: Office Hours - Den Haag
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Skills You'll Learn
Json, Xml, Python Programming, Web Scraping
Reviews
Jun 6, 2019
Getting a bit more challenging than the earlier courses in the specialization. The exercises require more struggle, but all the information is there. Another step along the way. Thank you, Dr. Chuck!
Dec 2, 2016
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.
From the lesson
Regular Expressions (Chapter 11)
Regular expressions are a very specialized language that allow us to succinctly search strings and extract data from strings. Regular expressions are a language unto themselves. It is not essential to know how to use regular expressions, but they can be quite useful and powerful.
Taught By
Charles Russell Severance
Clinical Professor
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