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@@ -16,6 +16,16 b'' | |||||
16 | ] |
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16 | ] | |
17 | }, |
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17 | }, | |
18 | { |
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18 | { | |
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19 | "cell_type": "code", | |||
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20 | "collapsed": false, | |||
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21 | "input": [ | |||
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22 | "%pylab inline" | |||
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23 | ], | |||
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24 | "language": "python", | |||
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25 | "metadata": {}, | |||
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26 | "outputs": [] | |||
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27 | }, | |||
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28 | { | |||
19 | "cell_type": "heading", |
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29 | "cell_type": "heading", | |
20 | "level": 2, |
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30 | "level": 2, | |
21 | "metadata": {}, |
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31 | "metadata": {}, | |
@@ -34,8 +44,7 b'' | |||||
34 | "cell_type": "code", |
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44 | "cell_type": "code", | |
35 | "collapsed": true, |
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45 | "collapsed": true, | |
36 | "input": [ |
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46 | "input": [ | |
37 |
"%load_ext rmagic |
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47 | "%load_ext rmagic " | |
38 | " " |
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39 | ], |
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48 | ], | |
40 | "language": "python", |
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49 | "language": "python", | |
41 | "metadata": {}, |
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50 | "metadata": {}, | |
@@ -58,7 +67,7 b'' | |||||
58 | "import pylab\n", |
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67 | "import pylab\n", | |
59 | "X = np.array([0,1,2,3,4])\n", |
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68 | "X = np.array([0,1,2,3,4])\n", | |
60 | "Y = np.array([3,5,4,6,7])\n", |
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69 | "Y = np.array([3,5,4,6,7])\n", | |
61 |
"pylab.scatter(X, Y) |
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70 | "pylab.scatter(X, Y)" | |
62 | ], |
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71 | ], | |
63 | "language": "python", |
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72 | "language": "python", | |
64 | "metadata": {}, |
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73 | "metadata": {}, |
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