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Python for Harvesting Data on the Web

Python for Harvesting Data on the Web Online

This is an intermediate-to-advanced level Python workshop that describes ways to approach common data wrangling from the web for research needs. We will focus on obtaining open data sources through HTTP requests and then demonstrate how to access larger sources of data via APIs. Then we will show how to turn the retrieved data into more useful objects like data frames to do basic manipulations and analysis. This workshop is only recommended for Python users with familiarity in Pandas, Numpy, core Python objects (lists, dictionaries, strings, numbers), file types like JSON and CSV, and comfort using Jupyter Notebooks.

 

Date:
Wednesday, April 19, 2023
Time:
10:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Location:
Online
Campus:
Virtual Workshop
Categories:
  Open Science     Working With Data  
Online:
This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Registration has closed.

Virtual Workshop Information:

  • The link to join this event will be found in your reminder email 24 hours before the event. 
  • Please join a few minutes early to ensure that your audio setup is working correctly.
  • All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information.

If you require accessibility accommodations, please contact the event organizer.

Organizer(s)

Profile photo of Lencia Beltran
Lencia Beltran

Open Science Program Coordinator

lbeltran@andrew.cmu.edu

Profile photo of Chasz Griego
Chasz Griego

Science & Engineering Librarian

cgriego@andrew.cmu.edu