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" If you run out of exercises, there are [100 more here!](http://www.loria.fr/~rougier/teaching/numpy.100/)"
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]
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},
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+ {
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+ "cell_type" : " code" ,
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+ "execution_count" : null ,
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+ "metadata" : {
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+ "collapsed" : true
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+ },
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+ "outputs" : [],
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+ "source" : [
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+ " import numpy as np\n " ,
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+ " \n " ,
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+ " %matplotlib inline\n " ,
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+ " import matplotlib.pyplot as plt\n " ,
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+ " \n " ,
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+ " import scipy"
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+ ]
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+ },
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{
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"cell_type" : " markdown" ,
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"metadata" : {},
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{
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"cell_type" : " code" ,
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"execution_count" : null ,
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- "metadata" : {},
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+ "metadata" : {
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+ "collapsed" : true
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+ },
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"outputs" : [],
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"source" : [
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" # From https://commons.wikimedia.org/wiki/File:Rosenbrock_function.svg\n " ,
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{
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"cell_type" : " code" ,
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"execution_count" : null ,
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- "metadata" : {},
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+ "metadata" : {
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+ "collapsed" : true
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+ },
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"outputs" : [],
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"source" : [
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" from skimage import draw\n " ,
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{
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"cell_type" : " code" ,
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"execution_count" : null ,
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- "metadata" : {},
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+ "metadata" : {
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+ "collapsed" : true
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+ },
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"outputs" : [],
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"source" : [
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" from skimage import data, color, filters\n " ,
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{
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"cell_type" : " code" ,
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"execution_count" : null ,
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- "metadata" : {},
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+ "metadata" : {
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+ "collapsed" : true
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+ },
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"outputs" : [],
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"source" : [
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" # Visualize sampling\n " ,
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