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.

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.

Using flask, websockets, and redis to make a simple multi-user drawing surface in D3.

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.

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.

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.

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.

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.