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@joelotz
Last active December 17, 2015 12:59
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This is the morale@work function
{
"metadata": {
"name": "Work Morale"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": "Morale at work"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "$$f(x) = 101 - 101 e^{x-9}$$"
},
{
"cell_type": "code",
"collapsed": false,
"input": "from math import exp\nfrom numpy import linspace\nimport matplotlib.pyplot as plt\n\nplt.plot(linspace(0,10,50), [101-101*exp(x-9) for x in linspace(0,10,50)])\nplt.title(\"Work Morale\")\nplt.xlabel(\"time at work\")\nplt.ylabel(\"morale [give a f***s]\")",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 16,
"text": "(-100, 150.0)"
},
{
"output_type": "display_data",
"png": 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LXpmISDm0bAlffgmrVllDZPp0+Oc/oUULsyurnNTbSkTczsWL8O678Le/WdtD/ud/NEak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\noUN4eVlz5vLlyzR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}
],
"prompt_number": 16
}
],
"metadata": {}
}
]
}
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