Past Meetup

PyLadies + Women in Big Data Python Tutorial: Visualizing Geographic Data

This Meetup is past

142 people went

University of Southern California Popovich Hall (JKP) 110

611 Exposition Blvd Los Angeles, CA 90007 · Los Angeles, ca

How to find us

Please set your GPS to 620 West McCarthy Way Los Angeles, CA 90007 to park at McCarthy Way Parking Structure (PSX)

Location image of event venue


Join PyLadies and Women in Big Data for a hands-on tutorial on creating compelling and interactive visualizations of geographic data in Python. PyLadies organizer Sylvia Tran will lead an interactive coding workshop with Folium and Bokeh, two popular visualization libraries.

All people and levels are welcome! Please note all attendees should abide by the PyLadies Code of Conduct (

Please bring a fully charged laptop if you have one. You can get a head start by downloading the dataset we will be working with, here:


6:00 P.M.: Check in and mingle

6:30 P.M.: Tutorial

7:30 P.M.: Networking

Some resources to get you started:

About the speakers:

Sylvia Tran is a Data Scientist at OpenDrives. She was previously a TA and graduate of General Assembly's Data Science Immersive program. Sylvia was formerly a Director at Wells Fargo Capital Finance, and has 10 years of experience in business risk analysis, and financing mergers & acquisitions. She holds a B.S. in Applied Mathematics from UCLA.

Parking: Please join us at the University of Southern California University Park Campus.

There is short term parking available at the shops and along the perimeter of the University Park campus and you can also use the ParkMobile app accessed here:

For our parking structures, we suggest our McCarthy Way parking lot at the intersection of McCarthy Way and Figueroa St. in Los Angeles, CA. There is a parking charge of $12 that you can pay at the gate.

We encourage you to arrive early if you would like to dine at local eateries across the street at the intersection of Figueroa and Jefferson or Figueroa and Exposition. Please see attached USC campus map for parking options and venue location.