gistfile1.ipynb

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Example Notebook\n",
"\n",
"This is an example notebook to show rendering as a GitHub gist on Medium."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Medium!\n"
]
}
],
"source": [
"# Here's some Python code too\n",
"print(\"Hello Medium!\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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W+0Tnj+v3QYAR8WrgT4GnZebjZddTloj4TeCqzNxRdi1liIhfBSYz8wfLrmU9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\nVEEGAEmSKuj/A5zwTkt2tCCBAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10d6e0390>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Here's a graph too\n",
"%matplotlib inline\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"import random\n",
"\n",
"random.seed(0)\n",
"\n",
"normals = [random.gauss(0,1) for i in range(1000)]\n",
"plt.hist(normals, bins=40)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The End\n"
]
}
],
"source": [
"# The End\n",
"print(\"The End\")"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda env:py35]",
"language": "python",
"name": "conda-env-py35-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}