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# Display matplotlib RGB images
# https://www.pyimagesearch.com/2014/11/03/display-matplotlib-rgb-image/
# matplotlib: pyplot and mpimg to load and display our images
# plt.axis("off"): to remove the axes of the figure
# OpenCV: images are stored in BGR order rather than RGB!

# Matplotlib

import matplotlib.pyplot as plt
import matplotlib.image as mpimg

dazcona

Remote Access to IPython Notebooks via SSH

Start your notebook on the remote host:

remote_user@remote_host$ ipython notebook --no-browser --port=8889

Remote connect from your local machine:

local_user@local_host$ ssh -N -f -L localhost:8888:localhost:8889 remote_user@remote_host

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#!/usr/bin/env python
# read from input
a = int(raw_input()) # first
b = int(raw_input()) # second
print a + b

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#!/usr/bin/env python
def say_hello():
    print("Hello, World!")
say_hello()

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#!/usr/bin/env python
print "Hello, World!"

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import json
from pprint import pprint

with open('data.json') as f:
    data = json.load(f)

pprint(data)

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import json

data = [
  {
    'greeting': 'Hi!'
    'name': 'David'
  },
  {
    'greeting': 'Hello'
    'name': 'Peter'

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# Assume an existing non-empty list a, and a position i.
# Find p, the position of the smallest element in a[i:N].

# The only difference is that:
# instead of starting at position 0, we start at position i

p = i
j = i + 1
while j < len(a):
   if a[j] < a[p]:

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# Assume an existing non-empty list a.
# Find p, the position of the smallest element in a.

# The smallest element could be at any position.
# Therefore, we will have to examine every position.
# Therefore, we use our do-something-n-times pattern.

p = 0
j = 1
while j < len(a):

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#!/usr/bin/env python

# Assume an existing list of strings a.
# Write a Python fragment which writes each string in a to standard output, one per line.

# Explanation
# When you run this locally, the output will be "dog", "cat" and "mouse", one per line.
# However, when you run this code from another pgoram, the output will depend upon the value of a provided by that program.

if __name__ == "__main__":