Introduction to GraphQL for Data Scientists

Name: Introduction to GraphQL for Data Scientists
Start: 2022-04-26T12:00:00-04:00
End: 2022-04-26T13:00:00-04:00

Hosted By

Beryl K. and Reshama S.

Introduction to GraphQL for Data Scientists

Details

## Link to join the webinar here:

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

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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
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## Time
9am PT / 12pm ET / 7pm EAT / 9:30 PM IST

## Speaker

William Lyon

## Talk Level

Beginner

## Pre-reqs

No specific experience is required. However, we will be using Python and Jupyter notebooks for examples so some familiarity with Python will be helpful.

## Prep Work

None

## Resources

Will be provided.

## Event

This session will introduce GraphQL, with a focus on the use of GraphQL in data science. We will start with an overview of GraphQL, including the advantages/disadvantages of using GraphQL. Next, we will explore common patterns for building GraphQL APIs. Finally, we will see how GraphQL can be integrated into common data science workflows using Python and Jupyter notebooks.

## Speaker

William Lyon is a Developer Relations Engineer at Neo4j, the open-source graph database where he helps developers and data scientists be successful with graphs. He is the author of the book "Full Stack GraphQL" published by Manning and holds a masters degree in Computer Science from the University of Montana.

LinkedIn: https://www.linkedin.com/in/lyonwj/
Twitter: https://twitter.com/lyonwj
GitHub: https://github.com/johnymontana

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