BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20180311T030000
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:20260428T174534Z
UID:tkQTpA
DTSTART;VALUE=DATE:20180314
DTEND;VALUE=DATE:20180315
CLASS:PUBLIC
CREATED:20180212T215833
DESCRIPTION: On March 14\, join ~150 devs at SF Python's presentation night
  and learn more about new language features and a new language. :) Our gen
 erous sponsor Yelp will also provide pizza and beer for the evening. \n\n 
 If you'd like to give a 5 mins lightning talk or 10-15 mins short talk at 
 this or upcoming meetups\, please submit your talk idea here. \n\n PROGRAM
  \n\n Lightning talks (5m) \n\n \n Lessons learned from migrating to Pytho
 n 3 at CMB\, by Ann Paul \n Narrative Logging with Eliot\, by Stephan Fitz
 patrick \n Packaging a flask + gunicorn app with Docker and deploying on H
 asura\, by Tanmai Gopal \n importlib.resources\, by Barry Warsaw \n \n\n S
 hort talk (15m + Q&amp\;A) \n\n Nim for Python programmers\, by Abhishek K
 apatkar \n\n Ever wondered if there existed a language as expressive as Py
 thon and as efficient as C/C++? Look no further then. Nim is a statically 
 typed\, compiled language with a focus on efficiency. It is versatile and 
 borrows much of its constructs and standard library design from Python htt
 ps://nim-lang.org \n\n Bio: Abhishek Kapatkar works at Netflix on Machine 
 learning infrastructure team\, whose mission is to make using data easy an
 d efficient. He and his team are responsible for envisioning how the data 
 platform allows data scientists to make Netflix's service even better. He 
 enjoys product development\, programming language design\, and is passiona
 te about the usage of technology for the social good and currently serves 
 as a San Francisco chapter leader for Datakind.org. \n\n Main talk (~40 mi
 ns + Q&amp\;A) \n\n Trio: Async concurrency for mere mortals\, by Nathan S
 mith \n\n Concurrent programs are super useful: think of web apps juggling
  lots of simultaneous downloads and websocket connections\, chatbots track
 ing multiple concurrent conversations\, or web spiders fetching pages in p
 arallel. But writing concurrent programs is complicated\, intimidating to 
 newcomers\, and often challenging even for experts. \n\n Does it have to b
 e? Python is famous for being simple and straightforward\; can Python make
  concurrent programming simple and straightforward too? I think so. By car
 efully analyzing usability pitfalls in other libraries\, and taking advant
 age of new Python 3 features\, I've come up with a new set of primitives t
 hat make it dramatically easier to write correct concurrent programs\, and
  implemented them in a new library called Trio. In this talk\, I'll descri
 be these primitives\, and demonstrate how to use them to implement a basic
  algorithm for speeding up \n\n Bio: Nathaniel J. Smith is a cognitive sci
 entist and open-source developer\, currently at the UC Berkeley Institute 
 for Data Science. He's a core developer on NumPy and CPython\, brought the
  '@' operator to Python\, co-designed matplotlib's "viridis" colormap\, in
 stigated the creation of "manylinux" wheels\, and writes too many PEPs. He
  won't be talking about any of that. \n\n AGENDA \n\n 6:00p - Check-in and
  mingle\, with food provided by our generous sponsor Yelp! \n\n 7:05p - We
 lcome \n\n 7:10p - Announcements\, lightning talks\, and main talk \n\n 7:
 30p - Doors Close \n\n 8:20p - More mingling \n\n 9:30p - Hard Stop \n\n *
 *SF Python is run by volunteers aiming to foster the Python Community in t
 he bay area. Please consider making a donation (https://secure.meetup.com/
 sfpython/contribute/) to SF Python and saying a big thank you to Yelp for 
 providing pizza\, beer and the venue for this Wed's meetup. \n\n **Yelp se
 es 89 million mobile users and 79 million desktop users every month. Keepi
 ng everything running smoothly requires the best and brightest in the indu
 stry. Their engineers come from diverse technical backgrounds and value di
 gital craftsmanship\, open-source\, and creative problem-solving. They wri
 te tests\, review code\, and push multiple times a day. Come out and talk 
 to them. \n
LAST-MODIFIED:20240728T211358
LOCATION:Yelp\, 140 Montgomery Street\, San Francisco\, CA
ORGANIZER:mailto:grace@pybay.com
SUMMARY:Learn about Python's New Language Features and more
URL;VALUE=URI:https://ti.to/sf-python/New-Language-Features
URL;VALUE=URI:https://ti.to/sf-python/New-Language-Features
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260428T174534Z
UID:tkQTpA1019529
DTSTART;TZID=America/Los_Angeles:20180314T180000
DTEND;TZID=America/Los_Angeles:20180314T213000
CLASS:PUBLIC
CREATED:20180212T215845
LAST-MODIFIED:20180212T223655
LOCATION:Yelp \, 140 New Montgomery\, San Francisco\, CA
ORGANIZER:mailto:grace@pybay.com
SUMMARY:[Learn about Python's New Language Features and more] SF Python Mee
 tup
URL;VALUE=URI:https://ti.to/sf-python/New-Language-Features
URL;VALUE=URI:https://ti.to/sf-python/New-Language-Features
END:VEVENT
END:VCALENDAR
