Introduction to Serverless For Data Science
Exploring Serverless For Data Science reveals several interesting facts. Mike Lee Williams talks about the basic idea behind
Serverless For Data Science Comprehensive Overview
PyData LA 2018 Working in the cloud means you don't have to deal with hardware. The goal of " Speaker: Daniel S. Katz - University of Illinois at Urbana-Champaign Co-Authors: Kyle Chard - University of Chicago & Argonne ... This talk was presented at PyBay2018 - the Bay Area Regional Python conference. See pybay.com for more details about PyBay ...
Lecture on building
Summary & Highlights for Serverless For Data Science
- OpenFaaS is an open-source framework to deploy functions and microservices anywhere (local cluster, public cloud, edge ...
- This ServerlessToronto.org meetup recording shows how Ian Whitestone –
- Full Course HERE https://community.superdatascience.com/c/
- Github project page: https://github.com/ryfeus/lambda-packs https://github.com/ryfeus/stepfunctions2processing ...
- Here we discuss some key features of
Stay tuned for more updates related to Serverless For Data Science.
