Machine Learning with Python
By: Alexander Flyax
Date: July 9, 2015, 7 p.m.
I will briefly describe my journey into applied machine learning using Python packages like scikit-learn and statsmodels.
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.
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.
QML vs. Python
By: Patrick K. O'Brien
Date: May 14, 2015, 7 p.m.
If you think Python is Pythonic, wait until you see QML from the point of view of an experienced Python developer. QML is the Qt Meta Language or Qt Modeling Language. http://en.wikipedia.org/wiki/QML
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.
as former C# developer the lessons I learned to become pythonic
By: JC LatinoTV
Date: May 14, 2015, 7 p.m.
language comparison in 5 minutes
R and Python for regression
By: Jerry Dumblauskas
Date: May 14, 2015, 9:48 a.m.
Let's compare our favorite language to an 'upstart' highly focused statistical language.