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Find faults in the earth, power machine learning platforms, and more with Python
Register on Tito: https://ti.to/sf-python/nov-2018-presentation-night On Nov 14, join ~180 devs at SF Python's presentation night and learn more about how you can use Python to find faults in the Earth, build machine learning infrastructure, and more! If you'd like to present a 5 mins Lightning talk or a 10-15 mins Short Talk at future meetups, please submit your talk ideas [here] (https://goo.gl/forms/THhCxuqAeqA73QF22). Our generous sponsor Yelp will also provide pizza and drinks for this evening. ##PROGRAM ###Lightning talks - Where's All the Development? a simple, instructive, take on a git-like VCS, Edmund Huber - Why we choose Python/Flask to power some of the largest retailers in the world, Morgan Linton ###Short talk(~10 mins + Q&A) Finding faults with Python, Rob Sare Speaker Bio Rob Sare is an Earth observation and Python enthusiast who enjoys working on impactful problems involving spatial and environmental data. He is pursuing a Ph.D. at Stanford, where he uses image processing and numerical modelling techniques to investigate landscapes affected by earthquakes and other tectonic activity at regional and global scales. In his free time, he is an avid cyclist and enjoys contributing to open source projects, and has recently developed tools for classification of rivers in satellite imagery and real-time gas sensor data analysis during internships at Los Alamos National Lab and the U.S. Geological Survey. Abstract Most people living in the Bay Area have felt an earthquake and the instrumental record gives us a real-time view of seismic activity today. However, even in areas with sparse historic data, the landscape can give us important clues to how mature or active a fault zone might be in the form of fault scarps and other earthquake-related landforms like those in the famous Olema Valley south of Point Reyes. This talk is about scarplet, a Python image processing package for detecting and measuring key attributes of these and other landforms in topographic data. ###Main talk (~25 mins + Q&A) LyftLearn - Machine Learning Infrastructure at Lyft, Narek Amirbekian Speaker Bio Narek is a software engineer on the Machine Learning Platform team at Lyft. Previously, he's worked at a number of data centric roles at Zendesk, 4INFO, Edmodo, and Aarki. In his spare time he enjoys biking and brewing hoppy beers. Abstract Lyft has hundreds of machine learning models running at any given time. In the past every team had to build custom infrastructure for prototyping, training, and deploying models. Lyft learn gives data scientists and engineers at Lyft a shared environment to do all of these thing. Our tech stack is built on python flask and kubernetes. ##AGENDA 6:00p - Check-in and mingle, with food provided by our generous sponsor! 7:05p - Welcome 7:30p - Door close 7:10p - Announcements, lightning talks and main talk 8:15p - More mingling 9:30p - Hard stop *SF Python is run by volunteers aiming to foster the Python community in the Bay Area. Please consider making a donation to SF Python and saying a big thank you to Yelp for providing pizza, beer, and the venue for this Wednesday's meetup.* *Yelp sees 89 million mobile users and 79 million desktop users every month. Keeping everything running smoothly requires the best and brightest in the industry. Their engineers come from diverse technical backgrounds and value digital craftsmanship, open-source, and creative problem-solving. They write tests, review code, and push multiple times a day. Come out and talk to them.*

Yelp

140 New Montgomery · San Francisco, CA

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What we're about

SF Python is your opportunity to grow your technical career by learning and sharing what you know with other local Python developers!

• If you'd like to submit a 25 or 40 mins talk, please do so via PyBay's CFP (
https://pybay.com/cfp) process. CFP closes April 21, 2018

• If you'd like to submit a 5 mins lightning talk or 10-15 mins short talk, please use this form (https://goo.gl/forms/FtJ45W6bECGnLZQx1).

• If you'd like to sponsor our events, please start here (https://goo.gl/forms/QyYOOxSVFj3zHnaI3).

Organized by a handful of volunteers with the help of some faithful sponsors and your generous donations, we host about 20 events a year:

2 monthly meetups (http://sfpythonmeetup.com/)

- Presentation Night on the 2nd Wednesday of each month features intermediate to advanced level tech talks from Python Software Foundation members, core developers of open-source projects, and local software engineers.

- Project Night on the 3rd Wednesday of most months offers a chill evening to hack on projects, get questions answered, mentor other devs, or attend a tutorial. It's usually held at various companies in SF so you get to sample how different companies are using Python.

.PyBay, a yearly regional Python Conference (http://pybay.com/)

PyBay is the local version of PyCon. You can save on travel costs and still have an experience of the conference that serious python developers aspire to attend. PyBay is a 3-day weekend conference in August featuring 40 talks and 400+ attendees.

https://www.youtube.com/watch?v=bKMUUiioi5g

An annual holiday party (http://bayareapython.com/)

We think you'd agree that if you have been coming to SF Python's events, you have been advancing in your field. So come celebrate the year with us. We will listen to more amazing speakers while enjoying great food and drinks. Who knows, if we continue to get lucky, we will have more amazing entertainers to help us celebrate the year.

Why do we put these events up?

We believe there is power in in-person interactions. We believe in learning, sharing, and helping each other out. And we have seen the results. We have heard stories of people getting their problems solved because of the talks and the people they met at our events. We have witnessed people grow in their career, from receiving their first internship to landing their first speaking gig at conferences. We have even heard companies migrating to a different platform/technologies after attending our conference.

We look forward to your joining this awesome community - be it attending our events, giving a talk (https://goo.gl/forms/jOWUwI2R2ENvzCIr1), being a sponsor or supporting us financially!

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