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QuantEcon
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auto publishing updates to notebooks
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about_lectures.ipynb

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}
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],
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"metadata": {
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"date": 1615081137.0149565,
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"date": 1615288249.435843,
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"filename": "about_lectures.rst",
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"kernelspec": {
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"display_name": "Python",

aiyagari.ipynb

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},
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"outputs": [],
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"source": [
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"!conda install -y quantecon"
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"!pip install quantecon"
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]
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},
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}
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],
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"metadata": {
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"date": 1615288249.4811265,
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"filename": "aiyagari.rst",
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"display_name": "Python",

ar1_processes.ipynb

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"date": 1615288249.57735,
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"filename": "ar1_processes.rst",
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cake_eating_numerical.ipynb

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}
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"date": 1615288249.767518,
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"filename": "cake_eating_numerical.rst",
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cake_eating_problem.ipynb

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"metadata": {
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"date": 1615288250.1214056,
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"filename": "cake_eating_problem.rst",
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career.ipynb

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},
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"outputs": [],
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"source": [
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"!conda install -y quantecon"
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"!pip install quantecon"
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]
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},
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{
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"\n",
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"In particular, modulo randomness, reproduce the following figure (where the horizontal axis represents time)\n",
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"\n",
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"<img src=\"https://s3-ap-southeast-2.amazonaws.com/python-programming.quantecon.org/_static/lecture_specific/career/career_solutions_ex1_py.png\" style=\"\">\n",
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"<img src=\"https://s3-ap-southeast-2.amazonaws.com/python.quantecon.org/_static/lecture_specific/career/career_solutions_ex1_py.png\" style=\"\">\n",
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"\n",
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" \n",
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"Hint: To generate the draws from the distributions $ F $ and $ G $, use `quantecon.random.draw()`.\n",
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}
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],
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"metadata": {
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"date": 1615288250.2260792,
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"filename": "career.rst",
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cass_koopmans_1.ipynb

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}
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"filename": "cass_koopmans_1.rst",
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cass_koopmans_2.ipynb

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"metadata": {
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"filename": "cass_koopmans_2.rst",
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coleman_policy_iter.ipynb

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},
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"outputs": [],
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"source": [
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"!conda install -y quantecon\n",
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"!pip install quantecon\n",
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"!pip install interpolation"
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}
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],
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"metadata": {
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"filename": "coleman_policy_iter.rst",
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complex_and_trig.ipynb

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"filename": "complex_and_trig.rst",
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"display_name": "Python",

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