Welcome to the Temporary Notebook (tmpnb) service!

This Notebook Server was launched just for you. It's a temporary way for you to try out a recent development version of the IPython/Jupyter notebook.

**WARNING**

Don't rely on this server for anything you want to last - your server will be *deleted after a day (or so) of inactivity*.

Run some Python code!

To run the code below:

Click on the cell to select it.
Press SHIFT+ENTER on your keyboard or press the play button () in the toolbar above.

A full tutorial for using the notebook interface is available here.



In [ ]:

    
%matplotlib inline

import pandas as pd
import numpy as np
import matplotlib

from matplotlib import pyplot as plt
import seaborn as sns

ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()

df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index,
                  columns=['A', 'B', 'C', 'D'])
df = df.cumsum()
plt.figure(); df.plot(); plt.legend(loc='best')

Feel free to open new cells using the plus button (), or hitting shift-enter while this cell is selected.

Behind the scenes, the software that powers this is tmpnb, a Tornado application that spawns pre-built Docker containers and then uses the jupyter/configurable-http-proxy to put your notebook server on a unique path.