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revenue = 0
for price, amount in zip(prices, amounts):
    revenue += price * amount

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A breakthrough in artificial intelligence will tell us a lot about ourselves--
what it means to be human, and what it means to think or whether thought is observable, 
and if so, can it be traced it to an inspiration. 

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#Dowload IMDB data for LSTM example

Here is a snippet to download python code and imdb.pkl

wget http://deeplearning.net/tutorial/code/imdb.py
wget http://deeplearning.net/tutorial/code/lstm.py
wget http://www.iro.umontreal.ca/~lisa/deep/data/imdb.pkl

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import input_data
import tensorflow as tf

# http://www.tensorflow.org/tutorials/mnist/beginners/index.html
print '\033[93m' + 'Tutorial1 from:\nhttp://www.tensorflow.org/tutorials/mnist/beginners/index.html' + '\033[0m'
print 'MNIST INPUT DATA'
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

'PLACE HOLDERS'
# Make a placeholder / value to input on run

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Keybase proof

I hereby claim:

• I am BinRoot on github.
• I am nishant (https://keybase.io/nishant) on keybase.
• I have a public key whose fingerprint is D1D5 712D 68FF 9F79 0080 980E B351 8F17 06E1 77D1

To claim this, I am signing this object:

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# .PCD v0.7 - Point Cloud Data file format
VERSION 0.7
FIELDS x y z rgba
SIZE 4 4 4 4
TYPE F F F U
COUNT 1 1 1 1
WIDTH 6698
HEIGHT 1
VIEWPOINT 0 0 0 1 0 0 0
POINTS 6698

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// Declare your template and image
Mat* templ = ...;
Mat* img = new Mat(iplImg, true);

/// Source image to display
Mat img_display;
img -> copyTo( img_display );

/// Create the result matrix
int result_cols =  img -> cols - templ -> cols + 1;

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boolean doAction = false;

if (condition) {
  doAction = true;
} else {
  doAction = false;
}

if (doAction) {
  // ...

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#!/usr/bin/env python
import time
import os
import RPi.GPIO as GPIO

GPIO.setmode(GPIO.BCM)
DEBUG = 1

# read SPI data from MCP3008 chip, 8 possible adc's (0 thru 7)
def readadc(adcnum, clockpin, mosipin, misopin, cspin):