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+ .ipynb_checkpoints /
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+ {
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+ "cells" : [
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+ {
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+ "cell_type" : " markdown" ,
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+ "metadata" : {},
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+ "source" : [
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+ " # Introduction to Numpy\n " ,
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+ " Learning NumPy!"
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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" : 2 ,
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+ "metadata" : {},
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+ "outputs" : [
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+ {
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+ "data" : {
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+ "text/plain" : [
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+ " '1.14.5'"
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+ ]
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+ },
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+ "execution_count" : 2 ,
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+ "metadata" : {},
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+ "output_type" : " execute_result"
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+ }
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+ ],
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+ "source" : [
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+ " import numpy as np\n " ,
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+ " np.__version__"
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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" : 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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+ "metadata" : {
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+ "kernelspec" : {
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+ "display_name" : " Python 3" ,
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+ "language" : " python" ,
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+ "name" : " python3"
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+ },
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+ "language_info" : {
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+ "codemirror_mode" : {
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+ "name" : " ipython" ,
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+ "version" : 3
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+ },
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+ "file_extension" : " .py" ,
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+ "mimetype" : " text/x-python" ,
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+ "name" : " python" ,
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+ "nbconvert_exporter" : " python" ,
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+ "pygments_lexer" : " ipython3" ,
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+ "version" : " 3.6.6"
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+ }
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+ },
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+ "nbformat" : 4 ,
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+ "nbformat_minor" : 2
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+ }
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