[Baypiggies] Meeting this Thursday: Notebook Night

Jeff Fischer jeffrey.fischer at gmail.com
Mon Jul 20 19:28:59 EDT 2020

*Thursday July 23, 2020 7 pm - 9 pm (Online)*

This month, we'll have two talks about novel applications for Notebooks:

   - Nathan Neibauer - "Colab for Collaboration" (lightning talk)
   - Paul Karayan "Jupyter - Beyond Data Science"

Colab for Collaboration

How Google Colab can be leveraged to *quickly* build *useful* tools for
non-programmers without any environment setup on their end, and without a
full-fledged packaging solution on the developer's end (while still
maintaining a clean project structure and headache-free version control). I
have two examples of such tools that I have been working on during the
pandemic -- one is a small data analysis / visualization pipeline for a
friend in a PhD program who got moved out of the lab, and the other is a
small tool to help administrators from my graduate program shuffle people
intelligently during large Zoom events.
Speaker Bio: Nathan Neibauer

I am a Python enthusiast with a non-traditional CS and programming route. I
come from a Physics background, and I have used Python for nearly 10 years
as a tool to help make my life easier. I recently completed a 9 month
contract role at Google as a Data Visualization engineer for a fusion
energy research team, where I built custom viz solutions (static and
interactive) to condense high volumes of modeling data for internal and
external clients.

Some tools I have built:

   - Small GUIs in PyQt for data collection, analysis, and experiment design
   - Equipment communication libraries for laboratory automation
   - Numerical modeling and simulations
   - Colab notebooks for interactive data exploration

Jupyter - Beyond Data Science

Programming has been embraced by Technical Operations Engineers (e.g.
DevOps, QA, and Infosec) as a high leverage way to complete their jobs.
However, most productivity tools for developers are ill-suited for the
diversity & novelty of problems seen in Operations work.

I will present a more suitable framework - the Jupyter Notebook - that’s
already heavily adopted in the Data Science world. I'll introduce Jupyter
and its ecosystem by applying it in a number of practical Operations
Engineering examples, and finish with a demonstration of using Jupyer as
the operations equivalent of an IDE - what I call an Operational
Development Environment.

The ODE is a mental framework / toolchain for discovering and taming the
flood of alerts and other information we're deluged with today in Ops.
Similar systems are employed as part of the Data Operations workflows
(primarily for data cleaning and reconciliation) at Addepar, and in many
DevSecOps organizations.
Speaker Bio: Paul Karayan

Paul Karayan has built a 10+ year career on developing and industrializing
software products, with a recent focus on software product delivery. Paul's
love for automation developed during his early career as a scientist (A.B.
Duke University, M.S. UC Berkeley), and blossomed in the data mines of many
a Silicon Valley startup. This work draws from his experiences with
Exploratory Programming at Addepar, multiple consulting engagements through
Irregular Engineering, and his current role as a Senior Infrastructure
Engineer at Primer.
Code of Conduct


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   - You are expected to follow our code of conduct.
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   later date.

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