April Online Meeting: Lightning Talks and Data Workspaces
This month, we had two talks:
- A lightning talk from Raul Maldonado: Survival Analysis with Lifelines
- A full talk from Jeff Fischer: Data Workspaces: Python-based Management of your (Data) Science Projects
- Video of Presentation
- From YouTube
Zoom Webinar. RSVP via meetup.com here: https://www.meetup.com/BAyPIGgies/events/268629966/
Please register in advance for this webinar. If you RSVP "yes" to this event on MeetUp, you will see the link. We will also send the link to the firstname.lastname@example.org mailing list. After registering, you will receive a personalized confirmation email containing information about joining the webinar.
Please note that:
Data Workspaces: Python-based Management of your (Data) Science Projects
Modern scientific workflows can be very complex, involving many data sources, software components, and partial results. At the same time, many scientific workflows are not automated and incur significant manual effort or depend on brittle, one-time, scripts. As a result, scientists and data professionals have issues with managing experiments, collaboration, and reproducibility.
Data Workspaces (DWS) is a Python-based open source framework for managing scientific data and automating experiment workflows. Data Workspaces maintains the state of a science project, including data sets, intermediate data, results, and software. It supports reproducibility through snapshotting and lineage tracking and collaboration through a push/pull model layered on top of the Git version control system.
Jeff Fischer is CTO of Benedat LLC, a Data Science company in Silicon Valley focused on data intensive systems, from infrastructure to machine learning. He advises data engineering and data science teams on architecture and technology selection. Jeff has a PhD in Computer Science from UCLA and is a co-organizer of the Bay Area Python Interest Group.