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
Loading...
Skills You'll Learn
Json, Xml, Python Programming, Web Scraping
Reviews
Dec 03, 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.
Apr 24, 2020
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.
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
Explore our Catalog
Join for free and get personalized recommendations, updates and offers.
© 2020 Coursera Inc. All rights reserved.
