Learn about parser, interpreting DSL and ML models

On 13 March 2019, join ~150 devs at SF Python's presentation night and learn more about “Interpreting and understanding DSLs, Machine Learning, and lots more!”

Please register on Tito: https://ti.to/sf-python/march-2019-presentation-night by 2p on March 13.

• If you have only registered via meetup.com, there is very good chance we can't get you into the event due to restrictions from building security. We don't often have your full name via meetup.com and and we cannot accept walk-ins at this event.

If you'd like to give a lightning talk at this meetup or present at future meetups, please submit your talk ideas at https://bit.ly/sfpythoncfp

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

PROGRAM

# Lightning talks

• Robert Hodges - Python and ClickHouse Are Friends!
• Upkar Lidder - Introduction to Serverless
• Phillip Chuzhbinin - Using Python to build Slack-bots at CMB

# Short Talk (~15 mins)
Explainable Machine Learning - Eitan Anzenberg

As machine learning applications become more specialized, the models become increasingly opaque and harder to interpret. The ability to interpret “black-box” non-linear models is critical in certain fields such as finance, healthcare and self-driving technology. At Flowcast, we partner with several banks and leverage their proprietary data to build credit-risk models using machine learning which help unlock capital for small to medium businesses (SMB).

Come and learn how to interpret black-box non-linear machine learning algorithms at the prediction level using Python and Jupyter Notebook.

This talk will be also given at Strata EU (London UK).

### Speaker Bio
Eitan Anzenberg leads the data science team to execute on the development and productization of Flowcast’s AI platform. Etian has over 7+ years of experience in Data Science with a background in machine learning, applied statistics, modeling and engineering.

## Main Talk (~25 mins)
Parsing a medieval heraldic DSL (PyCon 2019 exclusive!) - Chris Beacham

Medieval European feudal families had a coat of arms for each family name. The cost of arms were generated from formulas called Blazons that were written in a medieval Domain Specific Language - the language of heraldry, which reads like a stilted lovechild of English and Latin. This is a language with a specific syntax, keywords, variables and recursion.
I am writing a parser for this medieval DSL that can automatically generate coat of arm images. I’ll explore how a parser works, the types available, and how to write an interpreter for a DSL in Python. My goal is to be able to parse a blazon into an ast and generate a coat of arms image from it.

### Speaker Bio
Chris Beacham aka Lady Red is a python backend developer, artist and maker, and is a member of Noisebridge Hackerspace

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 Checkr for providing pizza, beer, and the venue for this Wednesday's meetup.

Food, drinks, and venue for this meetup is through the generosity of
Checkr. Checkr is modernizing background checks to build a fairer future by improving the understand of the past. Please consider their job opportunities(https://checkr.com/careers/?gh_src=gi63rn5r1) if you or someone you know are looking!