Materials for the DAA Philly Symposium 2015 talk "Analyzing the Philadelphia Data Science Scene with Python"
To view this material online in non-interative mode, see here.
To run this interactively you'll need Python installed with a bunch of packages. The easiest way to install these packages is to use the Anaconda Python distribution.
Download and install anaconda
From the commandline run the following:
conda create -y -n daa_demo python=2.7 pip notebook pandas requests scikit-learn matplotlib seaborn
source activate daa_demo
jupyter notebook
conda create -y -n daa_demo python=2.7 pip notebook pandas requests scikit-learn matplotlib seaborn
activate daa_demo
jupyter notebook
At this point you should have a browser window open with jupyter notebook running. If you started jupyter in the directory with DataPhilly_Analysis.ipynb
, you should see it in the main menu and be able to click on it.