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https://github.com/mdbecker/daa_philly_2015
Materials for the DAA Philly Symposium 2015 talk "Analyzing the Philadelphia Data Science Scene with Python"
https://github.com/mdbecker/daa_philly_2015
Last synced: about 2 months ago
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Materials for the DAA Philly Symposium 2015 talk "Analyzing the Philadelphia Data Science Scene with Python"
- Host: GitHub
- URL: https://github.com/mdbecker/daa_philly_2015
- Owner: mdbecker
- License: mit
- Created: 2015-10-25T23:44:33.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2015-10-29T02:17:30.000Z (about 9 years ago)
- Last Synced: 2023-03-12T08:28:49.221Z (almost 2 years ago)
- Size: 3.87 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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](http://nbviewer.ipython.org/github/mdbecker/daa_philly_2015/blob/master/DataPhilly_Analysis.ipynb).
## 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](http://docs.continuum.io/anaconda/install)
### Create environment
From the commandline run the following:
#### Linux/OS X
```bash
conda create -y -n daa_demo python=2.7 pip notebook pandas requests scikit-learn matplotlib seaborn
source activate daa_demo
jupyter notebook
```
#### Windows
```bash
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](http://conda.pydata.org/docs/using/using.html).
* For help with using Jupyter Notebook see the docs [here](https://jupyter.readthedocs.org/en/latest/install.html).