SF Python - Shareable Data Apps w/Streamlit+Neo4j & Unlocking Your Audio Data

Want to learn more about Python and meet other Pythonistas?

👉 Submit your 5, 15 or 25 mins talk proposals here: https://bit.ly/sfpythoncfp

Join SF Python on https://live.remo.co/e/sf-python-oct2022

Enjoy a virtual platform that allows you to interact with others like you would in an in-person event

SCHEDULED TALKS

🔎 Lightning talk (5 mins)
Could be you!
Could be you!
Could be you!

🔎 Short talk (~15 mins + Q&A)
Shareable Data Apps with Streamlit + Neo4j
Jason Koo
Streamlit allows you to create shareable web apps entirely in Python. A graph database such as Neo4j can store transactional data and also be used for complex pattern matching and path finding. This rapid-fire talk will introduce both technologies and show how to combine them to build your own amazing data applications.
Jason Koo is Neo4j’s resident Python Developer Advocate. He has gone from professional video editing to mobile app development for Marketing and Financial Tech companies before transitioning to advocacy work in various fields such as computer vision, real-time messaging, and graph technologies.

🔎 Main talk (~25 mins + Q&A)
Unlocking More From Your Audio Data
Braden Riggs
In a world where content capture and creation sits in your pocket, the amount of audio collected and stored has exploded exponentially in recent years creating a goldmine of unstructured data ready to be explored and used. Just one problem, how do we work with all of this audio data and how do we make sure we are utilizing it to its full potential? In this talk we will explore how you can unlock more from your audio data in python, exploring some of our favorite data extraction and analysis tools and how we used them to better understand the world of podcast creation. As part of the Dolby.io (https://dolby.io/) team we regularly work with audio data for a variety of data science related projects and are eager to share some of the tips, tricks and tools we've learnt along the way that can help audio data beginners get started and inspire seasoned veterans to rethink how they work in the space.
Originally From Australia and now living in San Francisco, Braden joined the professional world of tech as a Data Scientist in 2020 working at a variety of companies including startups and semiconductor manufacturers, before joining the Dolby.io team working in Developer Relations. Braden has a passion for python, tinkering away at a range of projects that leverage some of the language's best tools for solving problems in data collection, creation, and machine learning.

FAQ
👉 How does one network at a virtual event?
https://youtu.be/k87zAKm60UA - join different virtual tables to chat with speakers, find out about how others are using Python, and start your own discussion topic. Simply turn on your mic and video when you arrive at the event link, double click on different tables to join different conversations

AGENDA
6:30p Get familiar with remo.co and reconnect with friends!
7:00p Opening remarks, sponsors acknowledgement
7:10p Scheduled talks and Q&A + networking & yoga break
8:30p Wrap up last talk, more networking

THIS EVENT IS PRODUCED BY
SF Python, a volunteers-run organization aiming to foster the Python Community in the Bay Area

Video Sponsor is IBM

For over a century, IBM has led world-changing progress by uniting, empowering, and relentlessly reinventing itself and their customers. The IBM Data Science Community is the place for data scientists and developers to learn, share, and engage with their peers and industry renowned data scientists. Join the IBM Data Science Community and participate in shaping the digital future

Virtual Platform sponsor is Sauce Labs

Continuous testing is a key enabler of digital confidence — the knowledge that you’re delivering the best possible user experience to your customers. Digitally confident organizations know that their web and mobile applications look, function and perform exactly as intended, every single time they’re used. That’s the value of Sauce Labs