Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2, 4, 6, 8, 10, 12, 14, 16, 18, 20]\n"
     ]
    }
   ],
   "source": [
    "list1 = [i for i in range(1,21) if i%2==0]\n",
    "print list1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 3, 5, 7, 9, 11, 13, 15, 17, 19]\n"
     ]
    }
   ],
   "source": [
    "list2 = [i for i in range(1,21) if i%2 == 1]\n",
    "print list2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding lists together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]\n"
     ]
    }
   ],
   "source": [
    "list3 = list1+list2\n",
    "list3.sort()\n",
    "print list3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# #Scikit-learn stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150, 4)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import datasets, svm\n",
    "import matplotlib.pyplot as plt\n",
    "import pylab as pl\n",
    "\n",
    "digits = datasets.load_digits()\n",
    "iris = datasets.load_iris()\n",
    "data = iris.data\n",
    "data.shape"
   ]
  }
 ],
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