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"cell_type" : " markdown" ,
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"metadata" : {},
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"source" : [
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- " ## Creation\n " ,
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- " * Random state\n " ,
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- " * Appending rows\n " ,
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+ " ## Creation \n " ,
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+ " * You can create a random but bound grouping of values using the `np.random` package. \n " ,
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+ " * `RandomState` let's you seed your randomness in a way that is repeatable.\n " ,
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+ " * You can append a row in a couple of ways\n " ,
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+ " * You can use the `np.append` method. Make sure the new row is the same shape.\n " ,
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+ " * You can create/reassign a new array by including the existing array as part of the iterable in creation.\n " ,
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+ " \n " ,
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" \n " ,
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" ## Indexing\n " ,
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- " * Shortcut (tuple)\n " ,
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- " * Fancy Indexing"
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+ " * You can use an indexing shortcut by separating dimensions with a comma. \n " ,
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+ " * You can index using a `list` or `np.array`. Values will be pulled out at that specific index. This is known as fancy indexing.\n " ,
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+ " * Resulting array shape matches the index array layout. Be careful to distinguish between the tuple shortcut and fancy indexing."
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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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+ "outputs" : [],
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+ "source" : []
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+ },
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{
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"cell_type" : " code" ,
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"execution_count" : 33 ,
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