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‎Procfile

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web: voila --port=$PORT --no-browser app.ipynb

‎SyntheticData.csv

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‎app.ipynb

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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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"# This is markdown text in Jupyter\n",
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"\n",
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"## This page is a site hosted seperately from the lab website\n",
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"\n",
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"## Voila Web App\n",
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"\n",
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"## A website built out of a Jupyter notebook using Voila"
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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": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "95da443e125942d69e69eff2051b27b9",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"interactive(children=(FloatSlider(value=-1.0, description='a', max=0.0, min=-1.0), FloatSlider(value=0.55, des…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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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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"import matplotlib.pyplot as plt\n",
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"from ipywidgets import interactive\n",
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"%matplotlib inline\n",
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"\n",
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"import csv\n",
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"with open('SyntheticData.csv', newline='') as csvfile:\n",
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" spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|')\n",
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"\n",
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"def plot_func(a, f):\n",
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" plt.figure(2)\n",
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" x = np.linspace(0, 2*np.pi, num=1000)\n",
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" y = a*np.sin(1/f*x)\n",
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" plt.plot(x,y)\n",
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" plt.ylim(-1.1, 1.1)\n",
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" plt.title('a sin(f)')\n",
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" plt.show()\n",
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"\n",
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"interactive_plot = interactive(plot_func, a=(-1,0,0.1), f=(0.1, 1))\n",
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"output = interactive_plot.children[-1]\n",
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"output.layout.height = '300px'\n",
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"interactive_plot"
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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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"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": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎requirements.txt

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alabaster==0.7.12
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anyio==2.0.2
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argon2-cffi==20.1.0
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asgiref==3.2.10
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astroid==2.4.2
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async-generator==1.10
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attrs==20.3.0
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Babel==2.8.0
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backcall==0.2.0
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beautifulsoup4==4.9.3
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bleach==3.2.1
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bootstrap-py==1.0.2
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certifi==2020.6.20
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cffi==1.14.3
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chardet==3.0.4
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colorama==0.4.3
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cycler==0.10.0
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decorator==4.4.2
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defusedxml==0.6.0
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dj-database-url==0.5.0
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Django==3.1.1
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django-allauth==0.42.0
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django-bootstrap==0.2.4
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django-bootstrap4==2.3.1
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django-filter==2.4.0
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django-heroku==0.3.1
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docutils==0.16
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entrypoints==0.3
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gitdb==4.0.5
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GitPython==3.1.11
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gunicorn==20.0.4
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idna==2.10
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imagesize==1.2.0
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ipykernel==5.3.4
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ipython==7.19.0
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ipython-genutils==0.2.0
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ipywidgets==7.6.2
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isort==5.5.1
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jedi==0.17.2
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Jinja2==2.11.2
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jsonschema==3.2.0
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jupyter==1.0.0
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jupyter-client==6.1.7
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jupyter-console==6.2.0
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jupyter-core==4.6.3
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jupyter-server==1.1.3
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jupyterlab-pygments==0.1.2
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jupyterlab-widgets==1.0.0
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kiwisolver==1.3.1
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lazy-object-proxy==1.4.3
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leaflet==0.0.3
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MarkupSafe==1.1.1
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matplotlib==3.3.3
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mccabe==0.6.1
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mistune==0.8.4
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nbclient==0.5.1
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nbconvert==6.0.7
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nbformat==5.0.8
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nest-asyncio==1.4.2
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notebook==6.1.5
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numpy==1.19.4
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oauthlib==3.1.0
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packaging==20.4
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pandocfilters==1.4.3
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parso==0.7.1
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pguard==0.4.0
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pickleshare==0.7.5
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Pillow==8.0.0
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prometheus-client==0.8.0
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prompt-toolkit==3.0.8
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psycopg2==2.8.6
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pycparser==2.20
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Pygments==2.7.2
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pylint==2.6.0
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pyparsing==2.4.7
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pyrsistent==0.17.3
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python-dateutil==2.8.1
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python3-openid==3.2.0
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pytz==2020.1
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# pywin32==228
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pywinpty==0.5.7
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pyzmq==19.0.2
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qtconsole==5.0.1
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QtPy==1.9.0
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requests==2.24.0
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requests-oauthlib==1.3.0
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Send2Trash==1.5.0
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six==1.15.0
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smmap==3.0.4
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sniffio==1.2.0
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snowballstemmer==2.0.0
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soupsieve==2.0.1
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Sphinx==3.3.0
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sphinxcontrib-applehelp==1.0.2
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sphinxcontrib-devhelp==1.0.2
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sphinxcontrib-htmlhelp==1.0.3
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sphinxcontrib-jsmath==1.0.1
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sphinxcontrib-qthelp==1.0.3
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sphinxcontrib-serializinghtml==1.1.4
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sqlparse==0.3.1
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terminado==0.9.1
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testpath==0.4.4
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toml==0.10.1
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tornado==6.1
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traitlets==5.0.5
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urllib3==1.25.10
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viola==0.3.8
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voila==0.2.4
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wcwidth==0.2.5
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webencodings==0.5.1
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whitenoise==5.2.0
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widgetsnbextension==3.5.1
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wrapt==1.12.1
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xlrd==1.2.0

‎runtime.txt

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python-3.8.5

‎venv/.ipynb_checkpoints/app-checkpoint.ipynb

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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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"# Voila Web App\n",
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"\n",
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"## A website built out of a Jupyter notebook using Voila"
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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": 3,
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'numpy'",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-3-66ae8f38ccaf>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mipywidgets\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0minteractive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'matplotlib'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'inline'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'numpy'"
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]
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}
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],
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"source": [
32+
"import numpy as np\n",
33+
"import matplotlib.pyplot as plt\n",
34+
"from ipywidgets import interactive\n",
35+
"%matplotlib inline\n",
36+
"\n",
37+
"def plot_func(a, f):\n",
38+
" plt.figure(2)\n",
39+
" x = np.linspace(0, 2*np.pi, num=1000)\n",
40+
" y = a*np.sin(1/f*x)\n",
41+
" plt.plot(x,y)\n",
42+
" plt.ylim(-1.1, 1.1)\n",
43+
" plt.title('a sin(f)')\n",
44+
" plt.show()\n",
45+
"\n",
46+
"interactive_plot = interactive(plot_func, a=(-1,0,0.1), f=(0.1, 1))\n",
47+
"output = interactive_plot.children[-1]\n",
48+
"output.layout.height = '300px'\n",
49+
"interactive_plot"
50+
]
51+
},
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{
53+
"cell_type": "code",
54+
"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": {
67+
"codemirror_mode": {
68+
"name": "ipython",
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"version": 3
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},
71+
"file_extension": ".py",
72+
"mimetype": "text/x-python",
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"name": "python",
74+
"nbconvert_exporter": "python",
75+
"pygments_lexer": "ipython3",
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

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