On Wed Oct 9th, join ~180 devs at SF Python's presentation night and learn how to build scalable API with Microservices using Python!

Our generous sponsor Checkr will also provide pizza and drinks for this evening.

PROGRAM

Lightning talks

Tyler Suard- Intro to AI and Machine Learning Francesco Mosconi - Your first deep learning model in Tensorflow 2.0

Short talk (~10 mins + Q&A)

1 Better Interviewing Through Python by Jared Garst

Abstract: While most technical interview problems are pretty contrived, some are useful elsewhere. Some are even in the standard library. This talk will cover the classic LRU cache interview problem, why it is also useful when you don't need a job, and how it is implemented in the python standard library.

The talk will contain gentle suggestions for how people can be better interviewers.

Bio: Jared Garst helps companies access their previously inaccessible data, and helps people get started with Python. He works for Pathrise, which mentors software engineers who are looking for work. He also runs a local volunteer Python class at Noisebridge. He loves your Python bugs and wants to hear about them.

2 Keeping Yourself Honest: Preparing for Microservices by Jason Scheirer

Abstract: Moving to microservices requires a change in thinking over traditional monolithic web services. There are changes of attitude as well as reasonable expectation setting necessary to prepare for the move (if you choose to make it). Here are some heuristics and strategies to employ to break up large services into more easily digestible microservices, and to think in terms of microservices to plan for the future.

Bio: Jason Scheirer is a backend engineer with almost 20 years of experience with Python. He’s worked at several startups in varying stages and levels of their transition to microservices.

Main talk (30 mins)

Title: Building Scalable Api With Microservices Using Python

Abstract: Many companies are moving from monolithic models to microservice architectures. Microservices refers to an architectural style for developing applications. Using microservices will help to build small and independent components that perform a specific API call. This talk will contain a proposal of how easily build scalable microservices with Python. The talk will cover how to setup and run the simplest possible example with Python 3, Flask, WSGI server and other recent technologies like (Docker, Kubernetess, etc)

Bio: Natalie Serebryakova is a Software Engineer currently working on the Infrastructure Team at Reddit in San Francisco. She enjoys working on building and automating various tools that help development team be more productive and happy. Occasionally she blogs or speak at the conferences. In her spare time, she likes to hike or camp with her 3 aussiedoodle puppies and bake cakes

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

This event is produced by

SF Python, a volunteers-run organization aiming to foster the Python Community in the Bay Area. Please check out their flagship event, PyBay2019, 4th Annual Regional Python Conference in SF this August.

Food, drinks, and venue for this meetup is through the generosity of

Checkr, modernizing background checks to build a fairer future by improving the understand of the past. Please consider their job opportunities if you or someone you know are looking!