As many of you may know, Quantopian sponsors and helps run several Algorithmic Trading meetup groups. Next Thursday, I'll be giving a presentation for our Boston chapter. The title of the talk is "Zipline, Pandas, and IPython Notebook: A Pythonic Toolbox for Quants", and the goal of the talk is to provide a beginning/intermediate-level introduction to some of the most powerful open source tools available for doing financial analysis in Python.
Time-permitting, I expect that the presentation will have some time for questions, but since not everyone on Quantopian can make it to Boston, I figured it might be valuable to open the floor here to questions/suggestions.
Some topics for suggestions might include:
- Features of Zipline/Pandas/Notebook that you're aware of but don't fully understand or haven't been able to use to the fullest.
- Features of Zipline/Pandas/Notebook that you've found particularly useful or powerful, especially features that you found difficult to master, or features that you felt were lacking adequate tutorials.
- Features of the above that you think other members of the quant finance community would benefit from understanding better.
The tutorial portion of the talk will by IPython Notebook-based, and we'll make the notebook available publicly after the meetup. If you're interested in attending, you can sign up for the meetup here: