Ultimate Language Shootout IV: Ruby
By: Ross Heflin
Date: June 13, 2013, 7:04 p.m.
Ruby, what you need to know
Ultimate Language Shootout IV: QUASI
By: Randy Baxley
Date: June 13, 2013, 7:01 p.m.
1977 - A language, the description of which was handed to me on about one hundred and fifty mimeographed eight and one half by eleven sheets. Robert Sibley handed it to the class to use as our compiler project.
Ultimate Language Shootout IV: Haskell or: How a List Comprehension Is Like a Burrito
By: Greg Kettler
Date: June 13, 2013, 7:01 p.m.
It's a compiled, statically typed, lazy, purely functional programming language. About as far as possible from Python? Not quite. The languages have a lot in common and Python has already borrowed a few tricks from Haskell.
Ultimate Language Shootout IV: C# is slightly better than you might imagine
By: Philip Doctor
Date: June 13, 2013, 7:10 p.m.
If you find yourself accidentally writing c#, you can still have some fun.
Who saved The Onion, from being hacked by "Syrian Electronic Army"
By: Sean Bloomfield
Date: May 9, 2013, 8:10 p.m.
Well, this isn't at all Python related (or even all that technical), but at The Onion, we recently had a little run-in with the "hackers" from the "Syrian Electronic Army", and could talk about some lessons learned from that, if there's any interest.
Hy: A Lisp that transforms itself into the ython AST.
By: Christopher Webber
Date: May 9, 2013, 7:45 p.m.
Concurrency in Python and other Languages
By: Daniel Griffin
Date: April 11, 2013, 7 p.m.
- 1 minute pitch about OpDemand and what we do.
- Processing HTTP requests with Twisted.
- Dealing with blocking code in Twisted (couchdb-python and pika).
- Doing long running work with Celery from Twisted.
- Communicating between web workers with ZMQ.
- Writing code that can be concurrent.
Threadless Loves Python
By: Mike Steder
Date: April 11, 2013, 7 p.m.
In the last year the Threadless engineering department has almost completely changed from PHP and MySQL to Python and MongoDB. I would like to do a brief overview of how we use Python today which will cover our replatformed website, our API, and our internal message queuing system.