Past Meetings • Recent Topics


Thu, May 08 2014 at 07:00 PM at Paola’s Vinum

DJ'ing our site - How & why we replatformed to Django
(0:15:00 Minutes)
By: Jake Kreider

We'd like to discuss Zoro’s adoption of Django for our main website — What the key motivators were, the result, and lessons learned from the experience.
An IRC Connection: Implementation and Bot
(0:30:00 Minutes)
By: Aaron Brady
Slides Link
IRC is a protocol for text exchanges with multiple recipients with publish/subscribe capabilities. A basic program that interacts with an IRC server is easy to make, but becomes more difficult with additional functionality. The task involves a few domains: sockets, parsing, and a multi-way mapping object for the state. We take a look at 4 custom modules to get it done: Multi-connection dispatch, Raw to dict, Connection model, and Relation; plus one for "main" for the bot itself.
PyCon Lightning Talks
(0:25:00 Minutes)
By: Jason Wirth

Let's go over what people saw at PyCon
62 Python enthusiasts attended this meeting.


Thu, Mar 13 2014 at 07:00 PM at Deloitte

Simple Websockets in Flask
(0:20:00 Minutes)
By: Daniel Hodges

Using flask, websockets, and redis to make a simple multi-user drawing surface in D3.
How to teach programming to novices
(0:10:00 Minutes)
By: John Blischak

R for Python Programmers
By: John Blischak

Starting Over From Scratch
(0:25:00 Minutes)
By: Malcolm Newsome

Often developers get too attached to the code that they write.  So much so that we dread losing it.  But, what happens when you intentionally delete code and rewrite it?  You might be surprised at the result.
59 Python enthusiasts attended this meeting.


Thu, Feb 13 2014 at 07:00 PM at Bank of America Building (Field Building)

Curiosity.com
(0:30:00 Minutes)
By: Christopher Coté

I am Director of Engineering for Discovery Communications Emerging Business and Strategy team. We just relaunched Curiosity.com. We use Python all over the place along with MongoDB/Redis/ElasticSearch The site lives within AWS utilizing several of their services. Including EC2, ELB, Route53, Cloudwatch, S3 I would like to discuss our overall architecture and our use/love of Python. And answer any questions on architecture/scalability/process/code.
119 Python enthusiasts attended this meeting.


Thu, Jan 09 2014 at 07:00 PM at Dev Bootcamp

Lexical Graphs with Natural Language Processing using NLTK
(0:45:00 Minutes)
By: Brian Ray

Brian will talk about his experiences using Python and NLTK http://nltk.org/ to run language comparisons to generate lexical difference graphs like the one mentioned in the "Lexical Distance Among the Languages of Europe" article. http://bit.ly/1cS46Ba The focus will be on the NLTK and how its internals work to process a language. This talk will be his best one ever.
Garbage Collection w/ Ref. Cycles
(0:30:00 Minutes)
By: Aaron Brady
Slides Link
Reference counting is very useful but it has an odd problem. We employ a technique from graphs to approach it. The solution works but it's a bit slow.
There were 986 roadway fatalities in Illinois in 2013. Where's the data?
(0:20:00 Minutes)
By: Nick Bennett

Seen on garish LED roadway signs all around Chicago on New Year's Eve, 2013: 986 TRAFFIC DEATHS IN 2013. It leads to many questions: On what roads? When did the accidents happen? What do we do now? I'm scared to drive. I will talk about purging my fears by finding the data to answer some of those questions. http://tothebeat.github.io/fatal-car-crashes/ This talk will involve PythonAnywhere, IPython, a module that's not even on PyPi (dbfpy), searching for and finding open government data, CartoDB, Google Fusion Tables, csv, and maybe Pandas. Rest assured, there will be no graphic photos.
80 Python enthusiasts attended this meeting.


Thu, Dec 12 2013 at 07:00 PM at Braintree(old)

A Visual Guide To Pandas
(0:20:00 Minutes)
By: Jason Wirth

Pandas is the data-munging Swiss Army knife of the Python world. Often you know how your data should look but it's not so obvious how to get there, so I'll present a visual approach to learning the library and data manipulation.
The Chicago Process: How Braintree Develops Software
(0:15:00 Minutes)
By: Adam Forsyth

Braintree needs to be highly available and secure, while still maintaining a rapid development pace and strict backwards compatibility. In order to achieve that, we use what has become known as the "Chicago Process". This involves pairing, strict TDD, a team structure, and weekly iterations, all to empower the devs to make decisions and get work of a high quality done while avoiding siloing.
Storm (with python (and a side of clojure))
(0:15:00 Minutes)
By: Philip Doctor

A walking tour of Storm, what it is, what you can do, and how you can use it with python.
59 Python enthusiasts attended this meeting.