Learn more about best practices for Pandas, a new data tool & Autonomous Vehicle

Want to learn more about new data tool, best practices for Pandas and meet other Pythonistas? Join SF Python via remo.co, a virtual platform that allows you to interact with others at your table, find out what they are doing with Python, and move around to meet new folks, like you would in an in-person event.

👉 Submit your 5, 10 or 25 mins talk proposals here: https://bit.ly/sfpythoncfp

AGENDA
6:30p Get up to speed on remo.co, network and reconnect with friends!
7:00p Opening remarks, sponsors acknowledgement
7:10p Scheduled talks + yoga / networking / announcements breaks
8:30p Wrap up last talk, more Q&A and networking
9:00p Hard stop

👉 Please register using this link: https://live.remo.co/e/sf-python-may

SCHEDULED TALKS

🔎 Short talk (~15 mins + Q&A)
Data Hut: A directory of data science / data engineering libraries by Jeff Fischer

My wife and I recently launched https://datahut.ai, a free website that tracks open source projects in the data science and data engineering space. In this talk, I will provide an overview of the site and then describe the data pipeline used to build the site. Finally, I will highlight some insights I've obtained about specific projects and the lifecycle of open source projects in general.

Jeff Fischer is CTO of Benedat LLC, a Data Science company in Silicon Valley focused on data intensive systems, from infrastructure to machine learning. He advises data engineering and data science teams on architecture and technology selection. Jeff has a PhD in Computer Science from UCLA and is a co-organizer of the Bay Area Python Interest Group.

🔎 Lightning talk (5 mins)
Autonomous Vehicle Object Detection - Ridwan Alam

🔎 Main talk (~20-25 mins + Q&A)
Idiomatic Pandas: 5 best-practices for pandas by Matt Harrison

Pandas can be tricky, and there is a lot of bad advice floating around. This talk will cut through some of the biggest issues I've seen with Pandas code after working with the library for a while and writing two books on it.

Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence and storage.

He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON and OSCON as well as local user conferences. The structure and content of this book is based off of first hand experience teaching Python to many individuals.

FAQ
👉 How does one network / socialize at a virtual event?
With remo.co, you can join different virtual tables to chat with speakers, find out about how others are using Python, start your own discussion topic. Turn on your mic and video when you arrive, and voila, just like an in-person event, you can chat with folks at your table. Prefer a different conversation? Double click to join another table or search the participant list, DM them via in app chat to your table for a reunion.

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