What we’re about
The Bay Area Python Interest Group (BAyPIGgies) was formed in July 1999. Although we use MeetUp.com for advertising to new members, our governance and main communication happens at https://baypiggies.net/ and https://mail.python.org/mailman/listinfo/baypiggies.
We meet the fourth Thursday of every month from 7:00pm - 9:00pm (except on November and December where we make special arrangements for the holidays). We are always looking for new speakers. Please reach out to our current organizers (Karen Dalton or Bill Deegan) if you would like to give a talk. You don't have to be an expert programmer to give a talk.
Code of Conduct:
Upcoming events (2)See all
- Hamilton orchestration framework for data flows + TestScribe no/low-code testingLink visible for attendees
BayPIGgies... VIRTUAL event
Hamilton orchestration framework for data flows + TestScribe no/low-code testing
YOU MUST REGISTER AT THE ZOOM URL TO ATTEND.
* PyBay: Remember to Register for PyBay! https://pybay.com
* Donations: Please support us at the link below via the Bay Area Python Association and the Python Software Association!!!
- 6:30 Welcome and Announcements
- 6:40 Lightning Talk: TestScribe, a "low code/no code" testing tool
- 6:55 Main talk: Hamilton: Natively bringing software engineering best practices to python data transformations
**** Lightning talk *****
"TestScribe, a "low code/no code" testing tool" presented by Ray Yang
TestScribe is a "low code/no code" tool to make Python testing easier by automating the boring and repetitive parts. It allows you to quickly start an interactive testing/debugging session without having to write boilerplate code. As a bonus, you can save the session as a complete unit test for further debugging or regression testing.
Ray Yang is a Bay Area entrepreneur/creator.
**** Main talk *****
"Hamilton: Natively bringing software engineering best practices to python data transformations" presented by Stefan Krawczyk
At Stitch Fix, a data science team’s feature generation process was causing them iteration & operational frustrations in delivering time-series forecasts for the business. It wasn’t the scale of data that was the problem, it was their code. In this talk I’ll present Hamilton, a novel open source Python framework that solved their pain points by changing their working paradigm.
Specifically, Hamilton enables a simpler and more productive approach for data science & data engineering teams to create, maintain, execute, and scale both the code (human) and computational sides of feature/data transforms. In this talk I’ll cover the motivation & backstory, what the Hamilton paradigm is and how it works, and how it naturally guides you into doing software best practices without really thinking about it.
Stefan Krawczyk is is currently CEO and co-founder of DAGWorks.
We are looking forward to seeing you!