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Web Scraping in Python

Web Scraping in Python

Sometimes data we find on the internet isn’t formatted for downloading and easy importing into our statistical program of choice. It’s simply displayed on a static web page as a table (if we’re lucky) or scattered about the page in various locations. To get this data requires “web scraping”. This means pulling out specific parts of a web page that we want to keep and wrangling into a structure suitable for further analysis. The general-purpose programming language Python has a number of libraries that work together to make this process relatively painless. We’ll talk about the process involved in web-scraping, some of the things to keep in mind, and how to use these tools in concert to get the data you need in a format you need. Some knowledge of Python would be helpful.

 

Instructor: Eric Rochester

Co-sponsored with the Scholars' Lab!

Date:
Wednesday, February 8, 2017
Time:
10:00am - 11:30am
Location:
Alderman 421
Campus:
Alderman
Categories:
Data Workshop
Presenter:
Eric Rochester
Registration has closed.

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Event Organizer

Michele Claibourn

Thank you for registering for a Research Data Services worskhop!