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Thu, Feb 13 2014 at 07:00 PM at Bank of America Building (Field Building)
Curiosity.com
(30 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.
(30 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
(45 Minutes)
By:
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.
(45 Minutes)
By:
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
(30 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.
(30 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?
(20 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.
(20 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.
79 Python enthusiasts attended this meeting.
Thu, Dec 12 2013 at 07:00 PM at Braintree(old)
A Visual Guide To Pandas
(20 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.
(20 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
(15 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.
(15 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))
(15 Minutes)
By: Philip Doctor
A walking tour of Storm, what it is, what you can do, and how you can use it with python.
(15 Minutes)
By: Philip Doctor
A walking tour of Storm, what it is, what you can do, and how you can use it with python.
62 Python enthusiasts attended this meeting.
Thu, Nov 14 2013 at 07:00 PM at Spartz
What happened at #aaronswhack?
(2 Minutes)
By: Sheila Miguez
Slides Link
Many python programmers showed up to participate in the Chicago #aaronswhack. Here's a list of what they worked on, and here are pointers to local projects as well as worldwide projects.
(2 Minutes)
By: Sheila Miguez
Slides Link
Many python programmers showed up to participate in the Chicago #aaronswhack. Here's a list of what they worked on, and here are pointers to local projects as well as worldwide projects.
Monoids in Python
(20 Minutes)
By: Philip Doctor
Monoids are largely badly explained, but actually quite beautiful. I would like to take a brief tour of what a monoid is and how they can help out with mundane every day tasks in python.
(20 Minutes)
By: Philip Doctor
Monoids are largely badly explained, but actually quite beautiful. I would like to take a brief tour of what a monoid is and how they can help out with mundane every day tasks in python.
Python heart Open Source Hardware
(5 Minutes)
By: Paul Ebreo
Open Source Hardware is going to change the world. But the hardware is still going to need software to control it. Can Python take the lead and become the de facto language of open source hardware control? Paul Ebreo talks about the three keys to Python's success in open hardware.
(5 Minutes)
By: Paul Ebreo
Open Source Hardware is going to change the world. But the hardware is still going to need software to control it. Can Python take the lead and become the de facto language of open source hardware control? Paul Ebreo talks about the three keys to Python's success in open hardware.
PyData Recap Lightning Talk
(5 Minutes)
By: Jason Wirth
Recap of last weeks PyData conference in NYC.
(5 Minutes)
By: Jason Wirth
Recap of last weeks PyData conference in NYC.
CivicLab and Between the Bars
(15 Minutes)
By: Benjamin Sugar
In this talk, I will present on a slice of the maker movement called "civic making" and a new space that has opened up in Chicago to encourage this type creation, CivicLab. As an example of "civic making" I will discuss Between the Bars, a paper based blogging platform for those who are incarcerated, built in Django. I will also discuss our choice in framework and the pros/cons of our approach.
(15 Minutes)
By: Benjamin Sugar
In this talk, I will present on a slice of the maker movement called "civic making" and a new space that has opened up in Chicago to encourage this type creation, CivicLab. As an example of "civic making" I will discuss Between the Bars, a paper based blogging platform for those who are incarcerated, built in Django. I will also discuss our choice in framework and the pros/cons of our approach.
Measure It
(60 Minutes)
By: Peter Fein
measure_it provides timing and counting for iterators (and other code segments). https://measure_it.readthedocs.org/en/latest/
(60 Minutes)
By: Peter Fein
measure_it provides timing and counting for iterators (and other code segments). https://measure_it.readthedocs.org/en/latest/
115 Python enthusiasts attended this meeting.
Thu, Oct 10 2013 at 07:00 PM at Market Bar
Finite State Machine: fysom
(10 Minutes)
By:
(10 Minutes)
By:
Rendering Data with D3
(15 Minutes)
By: Japhy Bartlett
How to begin rendering data with D3, by way of a simple python web server.
(15 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]
(5 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.
(5 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.
88 Python enthusiasts attended this meeting.