Geospatial Data and Maps with Python

## Link to join the webinar here:

https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

## Time
9am PT / 12pm ET / 8pm EAT / 10:30 PM IST

## TIMEZONE CONVERTER

https://www.timeanddate.com/worldclock/converter.html?iso=20220301T170000&p1=179&p2=170

## Speaker

Christy Heaton

## Talk Level

Beginner

## Pre-reqs

Beginner knowledge of Python and curiosity about different Python libraries

## Prep Work

None

## Resources

## Event

Maps are powerful tools that we use every day, and Python is well-equipped to handle geospatial data, perform geospatial analysis, and create insightful maps. In this talk, we'll go over some common Python mapping libraries, considerations when working with geospatial data, and use cases.

## Speaker

Christy Heaton is a GIS/Data Analyst at Floyd|Snider, an environmental consulting firm in Seattle, Washington. She has been a mapping professional and Python advocate for over 10 years with experience working in the public and private sectors and education. As a co-organizer of PyLadies Seattle, she strives to assist her local Python community and support underrepresented groups in technology.

LinkedIn: https://www.linkedin.com/in/christyheaton/
Twitter: https://twitter.com/christytoes
GitHub: https://github.com/christyheaton

===============================================

## CONNECTING WITH US

We invite you to follow us on our social networking sites to keep up to date on the latest news we will be sharing.

• MEETUP: https://www.meetup.com/data-umbrella/
• JOB BOARD: https://jobs.dataumbrella.org/
• NEWSLETTER: https://dataumbrella.substack.com/
• TWITTER: https://twitter.com/DataUmbrella
• YouTUBE: https://www.youtube.com/c/dataumbrella
• LinkedIn: www.linkedin.com/company/dataumbrella/
• Instagram: https://www.instagram.com/data.umbrella/