Portland Data Science Meetup, November 2014

"Python Data Visualization, What now?"

This is the code + presentation for the meetup. You can view all of the notebooks in a static form in nbviewer:

Mt Hood Snotel Data (Seaborn, ggplot)

Marvel API Data (Seaborn, Vincent)

Bokeh Demo

The tables are using the qgrid; if they don't load at first on nbviewer, reload the page.

Here are the required dependencies to run this notebook:

Cython==0.21.1
Flask==0.10.1
Jinja2==2.7.3
Markdown==2.5.1
MarkupSafe==0.23
PyYAML==3.11
Pygments==2.0.1
Werkzeug==0.9.6
backports.ssl-match-hostname==3.4.0.2
bokeh==0.6.1
brewer2mpl==1.4.1
certifi==14.05.14
colorama==0.3.2
gevent==1.0.1
gevent-websocket==0.9.3
ggplot==0.6.5
gnureadline==6.3.3
greenlet==0.4.5
ipython==2.3.0
itsdangerous==0.24
matplotlib==1.4.2
mock==1.0.1
nose==1.3.4
numpy==1.9.1
pandas==0.15.1
patsy==0.3.0
pyparsing==2.0.3
pystache==0.5.4
python-dateutil==2.2
pytz==2013b
pyzmq==14.4.1
qgrid==0.1.1
requests==2.4.3
scipy==0.14.0
seaborn==0.4.0
six==1.8.0
statsmodels==0.6.0
tornado==4.0.2
vincent==0.4.4
websocket==0.2.1
wsgiref==0.1.2