ChiPy __Main__ Meeting
When: Dec. 10, 2015, 7 p.m.
430 N Michigan Ave #4,
Chicago, IL 60611
This event is no longer accepting registrations.
Current Attendance: 114 Pythonistas
Meet the micro:bit
By: Naomi Ceder
Length: 45 Minutes
Description: You may have heard of the BBC micro:bit - a tiny (2" x 2.5") ARM based single board computer that every 11 year old in Britain will be receiving in a few months. (And if you haven't, well, as for everything else, start with Wikipedia.) Even better, the micro:bit runs Python 3 (MicroPython, to be exact). The Python Software Foundation is a partner in the project. (see http://ntoll.org/article/story-micropython-on-microbit for more) The micro:bit will be released in the UK some time around February, and should be available commercially shortly after that. Even though the micro:bit has't been officially released yet, a few have made their way out the door. So I happen to have one these precious few devices in the wild. I'd be happy to give a 30-45 minute talk about the background of the micro:bit and getting Python on it, about the teaching implications, the development done so far, and what's needed for the future, as well as the world tour that several of the devices are on. There would also be a live demo of the device.
An Introduction to the Portable Format for Analytics (PFA) and to Python-based Titus Scoring Engine
By: Robert Grossman
Length: 30 Minutes
Description: The Portable Format for Analytics (PFA) (www.dmg.org) is an emerging standard for predictive analytics that addresses some of the limitations of the Predictive Model Markup Language (PMML) and was designed for today’s big data environments, including Hadoop, Storm and Spark. In this talk, I give an introduction to PFA, model deployment, and Titus: Open Data's Python toolkit for building, inspecting, and modifying PFA scoring engines. Robert Grossman is the Founder and a Partner at Open Data Group, which has building predictive models over big data for its clients since 2002. He is also a Professor in the Division of Biological Sciences at the University of Chicago, where he leads a research group in bioinformatics with a focus in managing and analyzing large genomic datasets for advancing the understanding of human disease.
SQLAlchemy: Beyond ORM
By: Will Engler
Length: 20 Minutes
Description: Before I started my new job, I thought of SQLAlchemy as "that ORM people use with Flask." Well, it is that - and more! With this talk, I want to give the audience a taste of SQLAlchemy's philosophy and capability. Outline: 1) Picking the right abstraction: SQLAlchemy's ORM and Core layers. 2) Transaction management: The Unit of Work pattern (SQLAlchemy) vs. the Active Record pattern (Django models, Rails ActiveRecord). 3) In the wild: code samples plus practical concerns like migrations.