Learn more about decorators and get a deep dive on Python memory

Want to learn more about decorators and get a deep dive on Python memory? 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.

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-april

SCHEDULED TALKS

🔎 Lightning talk (5 mins)
@profiler see what your functions are doing with Cory Atkins

🔎 Short talk (~15 mins + Q&A)
@Making @Awesome def Decorators(datetime.now()):... Phebe Polk

This talk will go over the basics of decorators: what they are, how to make them, and how to use them. It will also highlight examples from the awesome decorators list.

Phebe is a Software Engineer at Guardant Health

🔎 Main talk (~20-25 mins + Q&A)
Python Memory Deep Dive for Speed and Efficiency with Michael Kennedy

Python's memory story is not often told. We hear it uses reference counting and that's about the end of it. But there is so much more going on. There is also a GC backing up reference counting, why? Instagram turned theirs off and got faster, how? Python classes can be memory hogs. But there is an escape hatch that is almost always available to us which uses much less memory and is faster computationally. Yet, almost no one opens it. You might want to.

Join Michael Kennedy from Talk Python Training and look at how Python memory works and design patterns for functions and classes making Python more efficient (memory-wise) and get a solid speed boost as a side benefit.

Michael Kennedy is the founder of Talk Python podcast and Talk Python Training, and a PSF Fellow.

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 wola, 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