daa_philly_2015

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.

Setup instructions

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.

Install Anaconda

Download and install anaconda

Create environment

From the commandline run the following:

Linux/OS X

conda create -y -n daa_demo python=2.7 pip notebook pandas requests scikit-learn matplotlib seaborn
source activate daa_demo
jupyter notebook

Windows

conda create -y -n daa_demo python=2.7 pip notebook pandas requests scikit-learn matplotlib seaborn
activate daa_demo
jupyter notebook

Using the 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.

Troubleshooting

• For help with anaconda see the docs here.
• For help with using Jupyter Notebook see the docs here.