Baypiggies August 2021

Lightning Talk: Iterators
This talk is about iterables and iterators, showing why we use them, how powerful they are, and how you can build your own custom iterators.

Speaker Bio: Amish Shah
Amish Shah works at Palo Alto Networks as an engineer on the Prisma Cloud product. He has acquired experiences in various software engineering domains: web development, mobile applications, distributed computing, cloud architecture, big data at different startups. Previously, Amish built cloud based and mobile products, enterprise DW/BI and big data systems at Qventus and Kno. Amish holds a Masters in Computer Engineering from University of Texas at Austin

Ray: A System for Parallel and Distributed Machine Learning
Distributed computing is becoming the norm, and this trend is driven largely by the computational requirements of machine learning applications. However, building distributed applications today requires tons of expertise. This talk introduces Ray and how it makes it easy to scale your python applications without rewriting them.

Speaker Bio: Michael Galarnyk
Michael Galarnyk works in Developer Relations at Anyscale, the company behind the Ray Project. In his spare time, he teaches Python based Machine Learning classes through Stanford Continuing Studies and LinkedIn Learning. You can find him on Twitter ( Medium ( and GitHub (

00:00 Intro
00:26 Lightning Talk: Iterators
16:06 Main Talk: Ray – A Sytsem for Parallel and Distributed Machine Learning
55:09 Outro

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