TiO2

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

TiO2

server {
  listen 80 default_server;
  listen [::]:80 default_server;

  root /your/root/path;

  index index.html;

  server_name you.server.com;

TiO2

#!/usr/bin/env python

"""
Download all the pdfs linked on a given webpage

Usage -

    python grab_pdfs.py url <path/to/directory>
        url is required
        path is optional. Path needs to be absolute

TiO2

"""quick way to create a data frame to try things out""" 
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])

df['A'] """ will bring out a col """ df.ix[0] """will bring out a row, #0 in this case""" 

"""to get an array from a data frame or a series use values, note it is not a function here, so no parans ()"""
point = df_allpoints[df_allpoints['names'] == given_point] # extract one point row. 
point = point['desc'].values[0] # get its descriptor in array form. 

TiO2

## DEMO FOR SAFETY GRAPHICS

require(lattice)
## The following functions are in the HH package
panel.ae.dotplot <-
 function (x, y, groups, ..., col.AB, pch.AB, lower, upper)
{
    panel.num <- panel.number()
    if (panel.num == 1)
        panel.ae.leftplot(x, y, groups = groups,