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implement the examples
try out with own parameter values
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‎chapter02_best_practices/01_py3.ipynb‎

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@@ -52,14 +52,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"0 + 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 = 45\n"
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"0 + 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 = 45"
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]
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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": 9,
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"metadata": {},
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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": 9,
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"execution_count": 11,
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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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"'The sum of 1 and 2 is 3'"
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"'The sum of 2 and 3 is 5.'"
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]
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},
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"execution_count": 9,
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"execution_count": 11,
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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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"a, b = 1, 2\n",
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"f\"The sum of {a} and {b} is {a + b}\""
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"a, b = 2, 3\n",
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"f\"The sum of {a} and {b} is {a + b}.\""
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]
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},
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 17,
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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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"0.5"
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]
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},
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"execution_count": 17,
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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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"kinetic_energy(1,1)"
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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": 14,
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[0, 1],\n",
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" [1, 0]])"
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]
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},
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"execution_count": 18,
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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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"M = np.array([[0, 1], [1, 0]])"
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]
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{
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"execution_count": 19,
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{
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" [1, 0]])"
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"execution_count": 19,
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"metadata": {},
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"output_type": "execute_result"
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"[0, 0, 1, 0, 1, 2, 0, 1, 2, 3]"
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]
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"[0, 0, 1, 0, 1, 2, 0, 1, 2, 3]"
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},
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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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"[PosixPath('00_intro.md'),\n",
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" PosixPath('01_py3.md'),\n",
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" PosixPath('02_workflows.md'),\n",
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" PosixPath('03_git.md'),\n",
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" PosixPath('04_git_advanced.md'),\n",
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" PosixPath('05_tips.md'),\n",
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" PosixPath('06_high_quality.md'),\n",
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" PosixPath('07_test.md'),\n",
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" PosixPath('08_debugging.md')]"
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"[]"
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]
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},
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"execution_count": 27,
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"execution_count": 28,
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"output_type": "execute_result"
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}
@@ -474,9 +498,7 @@
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{
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"data": {
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"text/plain": [
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"[PosixPath('images'),\n",
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" PosixPath('.ipynb_checkpoints'),\n",
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" PosixPath('__pycache__'),"
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"[PosixPath('.ipynb_checkpoints')]"
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]
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},
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@@ -494,14 +516,16 @@
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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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"[PosixPath('images/github_new.png'), PosixPath('images/folder.png')]"
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]
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},
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"execution_count": 30,
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"metadata": {},
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"output_type": "execute_result"
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"ename": "FileNotFoundError",
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"evalue": "[Errno 2] No such file or directory: 'images'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-30-3d677e0019eb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'images'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miterdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;32m~/anaconda3/lib/python3.7/pathlib.py\u001b[0m in \u001b[0;36miterdir\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1088\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_closed\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1089\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_closed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1090\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_accessor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1091\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'.'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'..'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1092\u001b[0m \u001b[0;31m# Yielding a path object for these makes little sense\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'images'"
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]
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}
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"text": [
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"0.00073 -0.00052 1.00050\n"
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"-0.0028894465989890684 -0.004401727440934301 1.0005956133603313\n"
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"metadata": {},
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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": "3.7.4"
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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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