Past Meetings • Recent Topics


Thu, Oct 10 2013 at 07:00 PM at Market Bar

Rendering Data with D3
(0:15:00 Minutes)
By: Japhy Bartlett

How to begin rendering data with D3, by way of a simple python web server.
5-Minutes Of Pandas [Lightning Talk]
(0:05:00 Minutes)
By: Jason Wirth

A lighting talk introducing Pandas, a library for data manipulating and overall munging goodness. If you do stuff with data and you don't use Pandas, you're doing it all wrong.
Finite State Machine: fysom
(0:10:00 Minutes)
By: Brian Ray

87 Python enthusiasts attended this meeting.


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

Post djangocon: An overview of edX
(0:30:00 Minutes)
By: yarko

edx is a major django application serving huge numbers of students for MIT, Harvard, Stanford, Berkely, and more. - A brief history of Computer-Based Instruction (python has a role); - incomplete survey of current open-source CBI; - edX: how's it different / what's it's rough structure, what (besides django/python) is involved; - edX: hacking the platform (django development); - edX: hacking courses; a deployment-level VM, and how to get started there; - finally: future topics: deployment; what this can't do (maybe) and why; - wrapup: call for interest & edx project night(s); I'll try to have some USBs for anyone who want to try one of the edX VMs during the talk
Set it, and forget it! Auto Scale on Rackspace
By: Brian Curtin

Rackspace is rolling out a new service to allow your cloud to scale on its own, called Auto Scale. Built on Monitoring, Auto Scale allows you to grow or shrink your fleet of resources as demand changes. pyrax, a Python package for working with OpenStack-based clouds like Rackspace's, just released Auto Scale and Monitoring support with version 1.5.0. I'll show how you can use pyrax to deploy servers and automatically add or remove them based on their usage.
What's Love Got to do with It? / Love: for techies
(0:15:00 Minutes)
By: yarko

What you think Love is - is (probably) wrong. The correct metaphor / definition for live will make much more sense to the software person. In fact, it will help with team building and design too. Yup. Grab a beer. I'll tell you a story about how this evolved (turing machine example), how and where evolution selected it, and why it works - and how it works for approaching problems (design) too. Then I'll lay out the "api" (functional description). Don't take it too seriously. You couldn't have known. Now you will. Cheers!
129 Python enthusiasts attended this meeting.


Thu, Aug 01 2013 at 07:00 PM at The University of Chicago (Downtown)

Lightening talks on Summer Fellows for "Data Science for Social Good"
By:

4-6 presentations 5-7 minutes each from the summer fellowship program lead by The University of Chicago on "data science for social good" (ref http://dssg.io) Come hear from the 40 fellows (mostly grad students and some undergrads in CS and stats) from around the country. Most of the work is done in Python and partnering with non profits and government organizations
Cluster Fun
(0:30:00 Minutes)
By: Joseph Curtin

An overview of deploying to a cloud solution while retaining the ability to deploy to a raspberry pi. Automate the instantiation of your cluster no matter the hardware. Utilizing libcloud, we'll talk to AWS and Rackspace. Utilizing Paramiko we'll talk to a Raspberry-Pi, AWS, and Rackspace. - Source code and slides will be available at the start of the presentation. https://github.com/jbcurtin/cedar
93 Python enthusiasts attended this meeting.


Thu, Jul 11 2013 at 07:00 PM at Wargaming West

A SciPy recap: Tracking history and provenance with Sumatra
(0:05:00 Minutes)
By: Sheila Miguez

This lightning talk recaps a [talk on Sumatra](http://pyvideo.org/video/2039/using-sumatra-to-manage-numerical-simulations-sc) from the reproducible science track at SciPy2013.
Asynchronous I/O in Python 3
(0:45:00 Minutes)
By: Feihong Hsu

I'm going to talk about PEP 3156 and go over basic usage of the reference implementation, codenamed Tulip.
ipython / notebook demo
(0:20:00 Minutes)
By: Jason Wirth

ipython was a big focus of Scipy, Fernando gave a keynote, Brian gave a talk, and there was a tutorial. ipython appeals to a broad audience from beginners to advanced users. IDLE is awful and I basically learned Python using iPython. Presenter will touch on the powerful features and extensibility for advanced users.
113 Python enthusiasts attended this meeting.


Thu, Jun 13 2013 at 07:00 PM at Open Software Integrators

Ultimate Language Shootout IV: C# is slightly better than you might imagine
(0:05:00 Minutes)
By: Philip Doctor

If you find yourself accidentally writing c#, you can still have some fun.
Ultimate Language Shootout IV: CoffeeScript
(0:05:00 Minutes)
By: Feihong Hsu

A brief introduction to CoffeeScript.
Ultimate Language Shootout IV: Go: come drink the delicious kool-aid
(0:05:00 Minutes)
By: David Sutton

From the makers of the wildly successful Plan 9 operating system and B programming language. Go is google's stab at a systems programming.
Ultimate Language Shootout IV: Haskell or: How a List Comprehension Is Like a Burrito
(0:05:00 Minutes)
By: Greg Kettler

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: QUASI
(0:05:00 Minutes)
By: Randy Baxley

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: Ruby
(0:05:00 Minutes)
By: Ross Heflin

Ruby, what you need to know
111 Python enthusiasts attended this meeting.