Name: PyData Triangle September 2020 Meetup
Start: 2020-09-02T18:00:00-04:00
End: 2020-09-02T20:30:00-04:00

PyData Triangle welcomes you to another exciting event.

This will be an online event. You must RSVP to this meetup event in order to see the Zoom URL. If prompted, the password is 076828

Speakers:
• Tony Fast and Nicholas Bollweg
• Mike Claes and Aarthi Janakiraman

YOU: Lightning Talks
• Sign-up for a 5 minute lightning talk slot at the meeting by posting in the chat. Or pre-sign-up by posting a comment into this announcement.

Schedule:
6:00-6:15 announcements
6:15-7:15 Tony Fast and Nicholas Bollweg
7:15-8:15 Mike Claes and Aarthi Janakiraman
8:15-8:30 Lightning talks

The PyData code of conduct ( http://pydata.org/code-of-conduct.html ) is enforced at this Meetup. Attendees violating these rules may be asked to leave the meetup at the sole discretion of the meetup organizer.

Please propose a presentation or speaker for a future PyData Triangle meetup. Contact any of the organizers, Alice Broadhead, Gene Ferruzza, or Mark Hutchinson through meetup messages.

Follow us on twitter at: https://twitter.com/pydatatriangle

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Presenter: Tony Fast and Nicholas Bollweg

Title: Ⅹ pounds of poo in Ⅴ loud acts
Presentation Overview:
This presentation is an 'educational performance'. We'll talk about giving and building demos. We'll be presenting a future we see using Jupyter and open source. This talk promises to be a 'wild ride'.

Nick is a Jupyter developer.
Tony is a data scientist at QuansightAI.

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Presenter: Mike Claes and Aarthi Janakiraman

Title: Improving notebook collaboration and security with JupyterLab extensions
Presentation Overview:
Jupyter notebooks and JupyterLab have become indispensable tools in the data science workflow. Notebooks, however, are not really geared toward version control or collaborative editing. It is also extremely easy to unintentionally expose confidential data. During this interactive demo, we’ll show how to use JupyterLab extensions and several best practices to make your notebooks more shareable and secure while retaining all the benefits of the Jupyter environment.

Mike is a Manager, Data Science at Cisco Systems
Aarthi Janakiraman is an Analyst, Data Science at Cisco Systems

Gene Ferruzza

Alice Broadhead

Eric Dill

PyData Triangle

Technology

Predictive Analytics

Open Source

Big Data

Machine Learning

Data Analytics

Data Visualization

Data Mining

Data Science

Data Science using Python

PyData Triangle September 2020 Meetup

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PyData Triangle September 2020 Meetup

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