Data and Observability with Python & Understanding *args and **kwargs
Details
Want to give a data talk on July 13 at SF Python meetup?
👉 Submit your 5 or 15 mins talk proposals here: https://bit.ly/sfpythoncfp
Join SF Python on https://live.remo.co/e/sf-python-july2022
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)
Understanding *args and **kwargs - Christopher Brousseau
Inventing the world's first plain-English coding language - Tyler Suard
🔎 Main talk (~25 mins + Q&A)
How to observe your data from Python applications (ex: Pandas, SKL, PySpark) by Andy Petrella
Data Observability is becoming a hot topic in the data community, but the question often raised is how to leverage it in my day-to-day Python work.
Andy is an entrepreneur with a Mathematics and Distributed Data background. In the data community, Andy is known as an early evangelist of Apache Spark and the Spark Notebook creator. He is also an O'Reilly author of “What is Data Observability”, “Distributed Data Science”, “Data Lineage Essentials”, “What is Data Governance”, and “Machine Learning Model Monitoring”. Andy is also the founder and CEO of Kensu.io, a data observability solution that comes with a specific method: Data Observability Driven Development.
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