BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20170312T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20161106T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260430T053148Z UID:jpdIsg DTSTART;VALUE=DATE:20170208 DTEND;VALUE=DATE:20170209 CLASS:PUBLIC CREATED:20170126T150655 DESCRIPTION: On Feb 8\, join 150+ Pythonista and get ready to upgrade your data skills. \n\n Our generous sponsor Affirm will provide food and beve rages. RSVP closes at 1p Feb 8. \n\n Agenda: \n\n 6:00p - Check-in an d mingle\, with food provided by our generous sponsor Affirm! \n7:05p - We lcome \n7:10p - Talk #1 and Q&\;A \n7:35p - Talk #2 and Q&\;A \n8:00 p - Announcements\, "7th Inning Stretch" and a Ligtning Talk on "Python to ols for physiological data analysis" by Watson Xi\n8:10p - Talk #3 and Q&a mp\;A \n8:50p - More mingling \n9:30p - Doors close \n\n Main Talk #1: Im mutable Database Modeling in Python by Alex Favaro \n\n ABSTRACT \n\n Immu tability in database models has a number of potential benefits\, especiall y in financial systems\, including transactional change logging\, improved debuggability and auditability\, and builtin support for history dependen t business logic. In this talk we’ll consider some approaches to incorpo rating immutability into database models\, discuss design tradeoffs\, and propose a pattern for designing relational data models that leverage immut ability. Finally\, we’ll review an explicit but non-intrusive implementa tion of this pattern written in Python using SQLAlchemy. \n\n BIO \n\n Ale x Favaro is an engineering manager at Affirm where he leads a team respons ible for new product initiatives. He earned his B.S. in Computer Science f rom Stanford in 2012 and has worked at a variety of companies in Silicon V alley\, including a 3 person startup and Google. His current interests lie at the intersection of FinTech\, consumer lending\, and personal finance. \n\n Main Talk #2: TextRank in Python by Paco Nathan \n\n ABSTRACT \n\n PyTextRank is a pure Python open source implementation of TextRank\, based on this 2004 paper -- a graph algorithm which produces ranked keyphrases from texts. Keyphrases are generally more useful than simple keyword extra ction. PyTextRank integrates use of TextBlob and SpaCy for NLP analysis of texts\, including full parse\, named entity extraction\, etc. It also pro duces auto-summarization of texts\, making use of an approximation algorit hm\, MinHash\, for better performance at scale. Overall\, the package is intended to complement machine learning approaches -- specifically deep le arning used for custom search and recommendations -- by developing better feature vectors from raw texts. This package is in production use at O'Rei lly Media for text analytics. \n\n BIO \n\n Paco is the Director of the Le arning Group at O'Reilly Media and an advisor for Amplify Partners -- with 30+ years tech industry experience\, ranging from Bell Labs to early-stag e start-ups. Known as a "player/coach" Data Scientist\, with core expertis e in machine learning\, distributed systems\, functional programming\, clo ud computing. Cited in 2015 as one of the Top 30 People in Big Data and An alytics by Innovation Enterprise. \n\n Main Talk #3: Advanced data enginee ring patterns using Apache Airflow by Maxime Beauchemin \n\n ABSTRACT \n\ n Analysis automation and analytic services is the future of data engineer ing! Apache Airflow's DSL makes it natural to build complex DAGs of tasks dynamically\, and Airbnb has been leveraging this feature in intricate way s\, creating a wide array of services as dynamic workflows. In this talk\, we'll explain the mechanics of dynamic pipeline generation using Apache A irflow\, and present advanced use cases that have been developed at Airbnb . \n\n BIO \n\n Maxime Beauchemin works at Airbnb as part of the Data To ols team\, developing open source products that reduce friction to help ge nerate insight from data. He is the creator and a leading maintainer of Ap ache Airflow incubating (a workflow engine) and Caravel (a data visualizat ion platform). Before Airbnb\, Maxime worked at Facebook on computation fr ameworks around engagement and growth analytics\, at Yahoo\; on social pro perties analytics\, and at Ubisoft as a data warehouse architect. \n\n 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 Affirm for providing food\, non-alcoholic drinks\, and the ve nue for this Wed's meetup. \n\n Our Feb sponsor Affirm is a next-generatio n consumer finance company providing shoppers with instant point-of-sale f inancing for online purchases. Started by PayPal co-founder Max Levchin\, Affirm’s data-driven approach looks beyond a standard credit score to re ach broader consumer populations. We are using modern technology to re-ima gine and re-build core components of financial infrastructure from the gro und up. We’re focusing on improving the lives of everyday consumers with less expensive\, more transparent financial products. \n LAST-MODIFIED:20240728T211358 LOCATION:Affirm\, 633 Folsom Street\, 7th Floor\, San Francisco\, CA 94107 ORGANIZER:mailto:grace@pybay.com SUMMARY:Learn how to upgrade your data skills from 3 experts URL;VALUE=URI:https://ti.to/sf-python/LearnHowToUpgradeYourDataSkillsFrom3E xperts URL;VALUE=URI:https://ti.to/sf-python/LearnHowToUpgradeYourDataSkillsFrom3E xperts END:VEVENT BEGIN:VEVENT DTSTAMP:20260430T053148Z UID:jpdIsg1013200 DTSTART;TZID=America/Los_Angeles:20170208T180000 DTEND;TZID=America/Los_Angeles:20170208T213000 CLASS:PUBLIC CREATED:20170127T114119 LAST-MODIFIED:20171122T010241 LOCATION:Affirm\, 633 Folsom Street\, 7th Floor\, San Francisco\, CA 94107 ORGANIZER:mailto:grace@pybay.com SUMMARY:[Learn how to upgrade your data skills from 3 experts] Meetup URL;VALUE=URI:https://ti.to/sf-python/LearnHowToUpgradeYourDataSkillsFrom3E xperts URL;VALUE=URI:https://ti.to/sf-python/LearnHowToUpgradeYourDataSkillsFrom3E xperts END:VEVENT END:VCALENDAR