What we’re about
Full Stack Data Science is the capability for the data-driven future we all know is coming. We also know that the world needs more data scientists and full stack developers. While we wait for more to hatch, we need to make more of our own because it is good for all of us to do so. The Full Stack Data Science Meet-up is oriented towards promoting a “full stack” approach to data science bringing much needed integration to the data science conversation across multiple disciplines ("defragging" data science, so to speak). How do you scale data science capabilities to serve the enterprise? Topics of discussion are centered on tough (and surprisingly common) challenges around data management; collection and ingestion; data architecture; exploratory, advanced, and secondary analytics; knowledge presentation and visualization; access and security, and measurement and assessment. Full Stack Data Science is meeting the data explosion head on and hungry to identify new relationships and opportunities in our data. In the end, the goal of Full Stack Data Science is help organizations, and the people in them, build a sustainable capability to improve performance, optimize investments, manage risk, and gain competitive advantage.
Full Stack Data Science is a Community Member of Data Community DC, Inc.
Upcoming events (2)
See all- Building Data Science APIs With Fast API - Full Stack Data ScienceExcella, Arlington, VA
Join us for the monthly Full Stack Data Science Meetup where we talk about the intersection of Data Science and Full Stack Development!
In this meetup, we'll discuss building data science APIs!
Agenda:
6:00-6:15 - Networking and refreshments
6:15-6:30 - Introductions
6:30 - 8:00 Presentations & DemosPresentation: Building Data Science APIs with FastAPI
Description:Data scientists and machine learning engineers are important users of APIs, but have some different needs than typical software developers. How can API producers serve them best? Ryan Day, author of O’Reilly’s Hands-On APIs for AI and Data Science (May 2025), will share practical tips for making APIs that data scientists will love.
Ryan will give a tour of the tasks that data scientists perform and the tools they use, with an emphasis on the Python ecosystem. Then he will demonstrate how to implement a data scientist-friendly API using the Python frameworks FastAPI, SQLAlchemy, and Pydantic.
Check out the upcoming book at: https://hands-on-api-book.com/