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William Lyon: Introduction to GraphQL for Data Scientists
- Transcript: https://github.com/data-umbrella/event-transcripts/blob/main/2022/
- Meetup Event: https://www.meetup.com/data-umbrella/events/284764217/
- Video: https://youtu.be/3QVguMgyAhU
- GitHub repo: https://dev.neo4j.com/graphql-data-science-repo
- Transcriber: ? [needs a transcriber]
- Slides: https://dev.neo4j.com/graphql-data-science
- Movies app: https://movies.neo4j-graphql.com/
- Colab notebook: https://colab.research.google.com/github/johnymontana/graphql-for-data-scientists/blob/main/notebooks/meetup.ipynb
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.
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
