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Python in the ActivityPub: Social media is changing and hopefully for the better.

ActivityPub is an open, decentralized social networking protocol, and forms the basis for the new wave of Federated social networks.

With many current social media groups either paywalling, restricting or shutting down API entirely, developers are flocking to ActivityPub based social media instances such as Mastodon, PixelFed or Lemmy to build the future of social networking.

This talk will look at using Python to access the basic features of Mastodon, sending “Toots” from a bot account.

Author: Allyn Hunt
[Father, Hardware Design Engineer
Play with Flask / React / TypeScript / API’s
Gamer (time permitting 😩)]

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Data Lineage with Python and Graph Databases: Data lineage is vital for analytics, compliance, and governance in today's data-driven world. This presentation explores using Python and graph databases to model and trace data transformations effectively.

We'll showcase a Python-based approach to model complex data transformations and dependencies. This method simplifies the process of understanding data origins and changes.

Next, we'll ingest this data into a graph database, highlighting its advantages for tracing and querying relationships. Finally, we'll use GremlinPython to uncover insights and trace data pathways efficiently.

Author: Dejan Peretin
[Originally from Croatia, studied mathematics and computer science at Zagreb University. Spent six years at AWS developing the data layer for CloudWatch Metrics. For the past four years, been part of Pinterest's Data Privacy team, focusing on data lineage and dataset cataloging.]

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Big thanks to our sponsor for this edition, Pinterest