Formula One Data Visualization and Interpretation: adventures in mentorship
By: Seth Difley
Date: July 9, 2015, 7 p.m.
We participated in the Chipy mentorship program.
Our plan for the mentorship was to use Python to visualize and interpret Formula One racing data. Join us to hear about the triumphs and obstacles we encountered along the way.
Why learning process matters to student dev's
By: Lane Campbell
Date: July 9, 2015, 7 p.m.
I took up learning Python and Web Development early this year. I started attending Django lessons held by folks in the community. After the lessons students had trouble finding help learning together. To help everyone organize I founded the Django Study Group. I've been learning for the last six months but I am still a student.
I joined the Chipy mentorship program to learn from a local professional Python developer. While enrolled in that I took the opportunity to join a student team led by Brian Ray for more experience learning to code. It was working alongside Brian that I learned the importance of how you build software.
Quantopian Trading
By: Sean Ware
Date: July 9, 2015, 7 p.m.
Brief introduction to the Quantopian api which is used for trading financial assest with python.
Introduction to PySpark
By: Nusreth Baig
Date: June 11, 2015, 7 p.m.
Big Shoulders Data Camp presents an “Introduction to PySpark”. One of our top instructors and data scientists, Adam McElhinney, will be giving a talk on working with PySpark, and presenting a use case. Audience is encouraged to come prepared to take notes, ask questions, and get a high-level understanding on one of Python's many analytical libraries.
DePy 2015 Review
By: Joe Jasinski
Date: June 11, 2015, 7 p.m.
A quick recap of the Chicago DePy conference that occurred this month.
Postscript. Yes, it's a programming language
By: Ken Schutte
Date: May 14, 2015, 7 p.m.
I'll describe Postscript - a interpreted, stack-based "page description language" used to produce vector graphics and documents.
Go: Concurrency is Built In
By: Chris Foresman
Date: May 14, 2015, 7 p.m.
Discussing the pros and cons of Golang from a Python user's perspective, particularly focusing on its built-in support for concurrency and the advantages over asyncio.
Is True true? : A mini-venture into Python & Ruby truth testing
By: Lorena Nicole
Date: May 14, 2015, 7 p.m.
Review of truth testing in Python and Ruby. If "Explicit is better than Implicit" then why does Python decide that values like empty sequences are "falsey"? How is it that Ruby only defines false and nil as false values, isn't this more explicit?
Highlight how languages embed their own philosophies of what is correct and true with surprising overlaps and at times odd contradictions.