BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20181104T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260408T220159Z UID:PdhhDQ DTSTART;VALUE=DATE:20181114 DTEND;VALUE=DATE:20181115 CLASS:PUBLIC CREATED:20181104T152212 DESCRIPTION: On Nov 14\, join ~180 devs at SF Python's presentation night a nd learn more about how you can use Python to find faults in the Earth\, b uild machine learning infrastructure\, and more! \n\n If you'd like to pre sent a 5 mins Lightning talk or a 10-15 mins Short Talk at future meetups\ , please submit your talk ideas here. \n\n Our generous sponsor Yelp will also provide pizza and drinks for this evening. \n\n PROGRAM \n\n Lightni ng talks \n\n \n Where's All the Development? a simple\, instructive\, tak e on a git-like VCS\, Edmund Huber \n Why we choose Python/Flask to power some of the largest retailers in the world\, Morgan Linton \n \n\n Short t alk(~10 mins + Q&\;A) \n\n Finding faults with Python\, Rob Sare \n\n S peaker Bio \n\n 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 e arthquakes and other tectonic activity at regional and global scales. In h is free time\, he is an avid cyclist and enjoys contributing to open sourc e projects\, and has recently developed tools for classification of river s in satellite imagery and real-time gas sensor data analysis during inter nships at Los Alamos National Lab and the U.S. Geological Survey. \n\n Abs tract \n\n Most people living in the Bay Area have felt an earthquake and the instrumental record gives us a real-time view of seismic activity toda y. However\, even in areas with sparse historic data\, the landscape can g ive us important clues to how mature or active a fault zone might be in th e form of fault scarps and other earthquake-related landforms like those i n the famous Olema Valley south of Point Reyes. This talk is about scarple t\, a Python image processing package for detecting and measuring key attr ibutes of these and other landforms in topographic data. \n\n Main talk (~ 25 mins + Q&\;A) \n\n LyftLearn - Machine Learning Infrastructure at Ly ft\, Narek Amirbekian \n\n Speaker Bio \n\n Narek is a software engineer o n 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. \n\n Abstract \n \n 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 e ngineers at Lyft a shared environment to do all of these thing. Our tech s tack is built on python flask and kubernetes. \n\n AGENDA \n\n 6:00p - Che ck-in and mingle\, with food provided by our generous sponsor! \n\n 7:05p - Welcome \n\n 7:30p - Door close \n\n 7:10p - Announcements\, lightning t alks and main talk \n\n 8:15p - More mingling \n\n 9:30p - Hard stop \n\n SF Python is run by volunteers aiming to foster the Python community in th e Bay Area. Please consider making a donation to SF Python and saying a bi g thank you to Yelp for providing pizza\, beer\, and the venue for this We dnesday's meetup. \n\n Yelp sees 89 million mobile users and 79 million de sktop users every month. Keeping everything running smoothly requires the best and brightest in the industry. Their engineers come from diverse tech nical backgrounds and value digital craftsmanship\, open-source\, and crea tive problem-solving. They write tests\, review code\, and push multiple times a day. Come out and talk to them. \n LAST-MODIFIED:20240728T211358 LOCATION:Yelp\, 140 New Montgomery Street\, San Francisco\, CA ORGANIZER:mailto:grace@pybay.com SUMMARY:Find faults in the earth\, power machine learning platforms\, and m ore with Python URL;VALUE=URI:https://ti.to/sf-python/nov-2018-presentation-night URL;VALUE=URI:https://ti.to/sf-python/nov-2018-presentation-night END:VEVENT BEGIN:VEVENT DTSTAMP:20260408T220159Z UID:PdhhDQ1023278 DTSTART;TZID=America/Los_Angeles:20181114T180000 DTEND;TZID=America/Los_Angeles:20181114T213000 CLASS:PUBLIC CREATED:20181104T152220 LAST-MODIFIED:20181104T154521 LOCATION:Yelp \, 140 New Montgomery\, San Francisco\, CA ORGANIZER:mailto:grace@pybay.com SUMMARY:[Find faults in the earth\, power machine learning platforms\, and more with Python] SF Python Meetup URL;VALUE=URI:https://ti.to/sf-python/nov-2018-presentation-night URL;VALUE=URI:https://ti.to/sf-python/nov-2018-presentation-night END:VEVENT END:VCALENDAR