1{
2 "cells": [
3  {
4   "cell_type": "code",
5   "execution_count": 7,
6   "metadata": {
7    "collapsed": false
8   },
9   "outputs": [
10    {
11     "ename": "SyntaxError",
12     "evalue": "invalid syntax (<ipython-input-7-52370c31eada>, line 1)",
13     "output_type": "error",
14     "traceback": [
15      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-7-52370c31eada>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    test 3\u001b[0m\n\u001b[0m         ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
16     ]
17    }
18   ],
19   "source": [
20    "test 3\n",
21    "hello 3\n",
22    "more\n",
23    "text 3\n",
24    "world 3"
25   ]
26  },
27  {
28   "cell_type": "code",
29   "execution_count": 8,
30   "metadata": {
31    "collapsed": false
32   },
33   "outputs": [
34    {
35     "data": {
36      "text/plain": [
37       "2"
38      ]
39     },
40     "execution_count": 8,
41     "metadata": {},
42     "output_type": "execute_result"
43    }
44   ],
45   "source": [
46    "def f(x, y):\n",
47    "    z = x + y - 9\n",
48    "    return z\n",
49    "f(5, 6)"
50   ]
51  },
52  {
53   "cell_type": "code",
54   "execution_count": 9,
55   "metadata": {
56    "collapsed": false
57   },
58   "outputs": [
59    {
60     "data": {
61      "text/plain": [
62       "123"
63      ]
64     },
65     "execution_count": 9,
66     "metadata": {},
67     "output_type": "execute_result"
68    }
69   ],
70   "source": [
71    "123"
72   ]
73  },
74  {
75   "cell_type": "code",
76   "execution_count": 1,
77   "metadata": {
78    "collapsed": false,
79    "tags": ["bar"]
80   },
81   "outputs": [
82    {
83     "name": "stdout",
84     "output_type": "stream",
85     "text": [
86      "No conflict at beginning or end here.\n"
87     ]
88    },
89    {
90     "data": {
91      "text/plain": [
92       "[<matplotlib.lines.Line2D at 0x7fc91b47f090>]"
93      ]
94     },
95     "execution_count": 1,
96     "metadata": {
97      "foo": 5
98     },
99     "output_type": "execute_result"
100    },
101    {
102     "data": {
103      "image/png": 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JfQ2zu82mWN5iXke6KCoXEjYer/M4h44f4oPUD7yO4olDh2DaNDdaUK0alCgBXbrA4sUQ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\nGPjDQK+jhJwXkl7gn3P+yUvRL/Fcg+e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104      "text/plain": [
105       "<matplotlib.figure.Figure at 0x7fc956df3510>"
106      ]
107     },
108     "metadata": {},
109     "output_type": "display_data"
110    },
111    {
112     "data": {
113      "image/png": 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KkWowewqS1C6FJguZOTJcZOarNzl2O3B7kedSM/l+CpLUPtP8NoR0jLWewr332lOQpLYw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\nswAAAABJRU5ErkJggg==\n",
114      "text/plain": [
115       "<matplotlib.figure.Figure at 0x7fc91d5bb590>"
116      ]
117     },
118     "metadata": {},
119     "output_type": "display_data"
120    }
121   ],
122   "source": [
123    "%matplotlib inline\n",
124    "from pylab import *\n",
125    "\n",
126    "figure(1)\n",
127    "x = [0, 2, 3]\n",
128    "plot(x, sin(x))\n",
129    "x = [1, 2, 4]\n",
130    "plot(x, tan(x))\n",
131    "\n",
132    "print(\"No conflict at beginning or end here.\")\n",
133    "figure(2)\n",
134    "plot([1,2,3], [1,3,2])"
135   ]
136  },
137  {
138   "cell_type": "code",
139   "execution_count": null,
140   "metadata": {
141    "collapsed": true
142   },
143   "outputs": [],
144   "source": []
145  }
146 ],
147 "metadata": {
148  "kernelspec": {
149   "display_name": "Python 2",
150   "language": "python",
151   "name": "python2"
152  },
153  "language_info": {
154   "codemirror_mode": {
155    "name": "ipython",
156    "version": 2
157   },
158   "file_extension": ".py",
159   "mimetype": "text/x-python",
160   "name": "python",
161   "nbconvert_exporter": "python",
162   "pygments_lexer": "ipython2",
163   "version": "2.7.10"
164  }
165 },
166 "nbformat": 4,
167 "nbformat_minor": 1
168}
169