├── .gitignore ├── LICENSE.txt ├── README.md ├── jupserver ├── Dockerfile ├── ipynbs │ ├── interactive.ipynb │ ├── plotly.ipynb │ └── quandl.ipynb ├── ipython_notebook_config.py ├── jup_cert.pem └── notebook.sh ├── pythoncontainer ├── Dockerfile └── install.sh └── serverapp ├── forms.py ├── rmdocker.sh ├── run_app.py ├── server_app.py ├── static └── style.css ├── templates ├── 404.html ├── layout.html ├── registration.html └── server.html └── time_logging.log /.gitignore: -------------------------------------------------------------------------------- 1 | .bashrc 2 | .bash_logout 3 | .profile 4 | *.pyc 5 | *.db 6 | *.pem 7 | -------------------------------------------------------------------------------- /LICENSE.txt: -------------------------------------------------------------------------------- 1 | Copyright (c) 2015, Dr. Yves J. Hilpisch 2 | All rights reserved. 3 | 4 | Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 5 | 6 | 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 7 | 8 | 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 9 | 10 | 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. 11 | 12 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 13 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Jupyter & IPython Notebook Servers in Docker Containers 2 | 3 | This repository contains all ingredients to run a **Python Flask Web application** that starts multiple **Docker containers which in turn run a Jupyter Notebook server** using SSL encryption and password protection (cf. http://ipython.org). 4 | 5 | You can see the **application in action** under http://docker.quant-platform.com. 6 | 7 | ![Jupyter Notebook](http://hilpisch.com/jupyter_docker.png "Jupyter Notebook") 8 | 9 | Note, however, that this app runs on the smallest **DigitalOcean droplet** (cf. https://www.digitalocean.com/?refcode=fbe512dd3dac). When setting up such a droplet it is recommended to use the latest version of **Ubuntu** in combination with **Docker** (cf. http://docker.com). 10 | 11 | In addition, when setting up an environment make sure to have Python, Flask, Flask-WTF and Flask-SQLAlchemy installed. Best you install **Anaconda** first (cf. http://continuum.io/downloads) and do then: 12 | 13 | ``` 14 | sudo apt-get install python-pip 15 | pip install flask-wtf 16 | pip install flask-sqlalchemy 17 | ``` 18 | 19 | I assume that you have **cloned the repository** on an appropriate infrastructure in the root directory ```/root```: 20 | 21 | ``` 22 | git clone --depth=1 https://github.com/yhilpisch/ipynb-docker 23 | ``` 24 | 25 | ## Docker Containers 26 | 27 | In order to run the Python Flask Web application on a server, you have to **first build two Docker containers**. 28 | 29 | The first one is a basic **Ubuntu** container with some **Python** in it. Assuming you are in the repo folder do: 30 | 31 | ``` 32 | cd pythoncontainer 33 | docker build -t pythoncontainer . 34 | ``` 35 | 36 | The second, which relies on the first, adds the **Notebook Server functionality**. Built it via 37 | 38 | ``` 39 | cd ../jupserver 40 | docker build -t jupserver . 41 | ``` 42 | 43 | ## Flask Web app 44 | 45 | ### Configuration 46 | 47 | First some configurations. You need to adjust the URL to the server in the template file found under ```/root/ipynb-docker/serverapp/templates/server.html``` to reflect the correct IP address or the domain used. In that file replace the following link 48 | 49 | ``` 50 | link 51 | ``` 52 | 53 | by a link containing your IP address 54 | 55 | ``` 56 | link 57 | ``` 58 | 59 | When using a domain, make sure that both **http & https** are configured for the web server (e.g. nginx). The configuration (in the file ```/etc/nginx/sites-enabled/default```) used for the demo under http://docker.quant-platform.com is: 60 | 61 | ``` 62 | server { 63 | listen 80; 64 | listen 443 ssl; 65 | ssl_certificate /root/ipynb-docker/jupserver/jup_cert.pem; 66 | ssl_certificate_key /root/ipynb-docker/jupserver/jup_cert.pem; 67 | server_name docker.quant-platform.com jupyter.quant-platform.com; 68 | location / { 69 | proxy_pass http://docker.quant-platform.com:8888; 70 | proxy_set_header Host $host; 71 | proxy_buffering off; 72 | } 73 | } 74 | 75 | ``` 76 | 77 | If not installed yet, install nginx via ```sudo apt-get install nginx```. 78 | 79 | A self-signed certificate for SSL encryption can be generated as follows: 80 | 81 | ``` 82 | openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout jup_cert.pem -out jup_cert.pem 83 | ``` 84 | 85 | Make sure that this certificate is stored in the folder ```/root/ipynb-docker/jupserver``` (best to generate it there). 86 | 87 | ### Running the Application 88 | 89 | Now go the the directory of the app and start the app: 90 | 91 | ``` 92 | cd /root/ipynb-docker/serverapp 93 | python run_app.py & 94 | ``` 95 | 96 | Your app should now be reachable under ```http://your-ip-address:8888```. 97 | 98 | ## Copyright, License & Disclaimer 99 | 100 | © Dr. Yves J. Hilpisch \| The Python Quants GmbH 101 | 102 | The code of this repository is BSD licensed (cf. http://opensource.org/licenses/BSD-3-Clause). 103 | 104 | The code in this repository comes with no representations or warranties, to the extent 105 | permitted by applicable law. 106 | 107 | http://tpq.io \| team@tpq.io \| 108 | http://twitter.com/dyjh 109 | 110 | **Python Quant Platform** \| http://quant-platform.com 111 | 112 | **Derivatives Analytics with Python (Wiley Finance)** \| 113 | http://derivatives-analytics-with-python.com 114 | 115 | **Python for Finance (O'Reilly)** \| 116 | http://python-for-finance.com 117 | 118 | 119 | 120 | 121 | 122 | -------------------------------------------------------------------------------- /jupserver/Dockerfile: -------------------------------------------------------------------------------- 1 | # 2 | # Docker Container for 3 | # Jupyter Notebook Server 4 | # 5 | # Dr. Yves J. Hilpisch 6 | # The Python Quants GmbH 7 | # 8 | 9 | FROM pythoncontainer 10 | 11 | MAINTAINER yves 12 | 13 | VOLUME /notebooks 14 | WORKDIR /notebooks 15 | 16 | ENV PW jupyter 17 | ENV PORT 9000 18 | 19 | ADD notebook.sh / 20 | RUN chmod u+x /notebook.sh 21 | 22 | ADD jup_cert.pem /root/.ipython/profile_default/ 23 | ADD ipython_notebook_config.py /root/.ipython/profile_default/ 24 | ADD /ipynbs/* /notebooks/ 25 | 26 | CMD /notebook.sh PW PORT 27 | -------------------------------------------------------------------------------- /jupserver/ipynbs/plotly.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "\"datpark\"
" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "# pandas, Plotly & Cufflinks" 15 | ] 16 | }, 17 | { 18 | "cell_type": "markdown", 19 | "metadata": {}, 20 | "source": [ 21 | "`plotly` is a **plotting engine** for fast easy generation of interactive **D3.js plots**. Cf. http://plot.ly." 22 | ] 23 | }, 24 | { 25 | "cell_type": "code", 26 | "execution_count": 2, 27 | "metadata": { 28 | "collapsed": false 29 | }, 30 | "outputs": [], 31 | "source": [ 32 | "import numpy as np\n", 33 | "import pandas as pd\n", 34 | "import pandas.io.data as web\n", 35 | "import plotly.plotly as py\n", 36 | "import cufflinks as cf" 37 | ] 38 | }, 39 | { 40 | "cell_type": "code", 41 | "execution_count": 3, 42 | "metadata": { 43 | "collapsed": false 44 | }, 45 | "outputs": [], 46 | "source": [ 47 | "py.sign_in('Python-Demo-Account', 'gwt101uhh0')" 48 | ] 49 | }, 50 | { 51 | "cell_type": "markdown", 52 | "metadata": {}, 53 | "source": [ 54 | "## Reading Financial Data" 55 | ] 56 | }, 57 | { 58 | "cell_type": "code", 59 | "execution_count": 4, 60 | "metadata": { 61 | "collapsed": false 62 | }, 63 | "outputs": [], 64 | "source": [ 65 | "symbols = ['AAPL', 'MSFT', 'YHOO']" 66 | ] 67 | }, 68 | { 69 | "cell_type": "code", 70 | "execution_count": 5, 71 | "metadata": { 72 | "collapsed": false 73 | }, 74 | "outputs": [], 75 | "source": [ 76 | "data = pd.DataFrame()\n", 77 | "for sym in symbols:\n", 78 | " data[sym] = web.DataReader(sym, data_source='yahoo')['Adj Close']" 79 | ] 80 | }, 81 | { 82 | "cell_type": "code", 83 | "execution_count": 6, 84 | "metadata": { 85 | "collapsed": false 86 | }, 87 | "outputs": [ 88 | { 89 | "data": { 90 | "text/html": [ 91 | "
\n", 92 | "\n", 93 | " \n", 94 | " \n", 95 | " \n", 96 | " \n", 97 | " \n", 98 | " \n", 99 | " \n", 100 | " \n", 101 | " \n", 102 | " \n", 103 | " \n", 104 | " \n", 105 | " \n", 106 | " \n", 107 | " \n", 108 | " \n", 109 | " \n", 110 | " \n", 111 | " \n", 112 | " \n", 113 | " \n", 114 | " \n", 115 | " \n", 116 | " \n", 117 | " \n", 118 | " \n", 119 | " \n", 120 | " \n", 121 | " \n", 122 | " \n", 123 | " \n", 124 | " \n", 125 | " \n", 126 | " \n", 127 | " \n", 128 | " \n", 129 | " \n", 130 | " \n", 131 | " \n", 132 | " \n", 133 | " \n", 134 | " \n", 135 | " \n", 136 | " \n", 137 | " \n", 138 | " \n", 139 | "
AAPLMSFTYHOO
Date
2015-07-31120.75341946.70000136.669998
2015-08-03117.90630646.81000136.689999
2015-08-04114.12342647.54000137.119999
2015-08-05114.88000347.58000237.250000
2015-08-06115.12999746.61999936.459999
\n", 140 | "
" 141 | ], 142 | "text/plain": [ 143 | " AAPL MSFT YHOO\n", 144 | "Date \n", 145 | "2015-07-31 120.753419 46.700001 36.669998\n", 146 | "2015-08-03 117.906306 46.810001 36.689999\n", 147 | "2015-08-04 114.123426 47.540001 37.119999\n", 148 | "2015-08-05 114.880003 47.580002 37.250000\n", 149 | "2015-08-06 115.129997 46.619999 36.459999" 150 | ] 151 | }, 152 | "execution_count": 6, 153 | "metadata": {}, 154 | "output_type": "execute_result" 155 | } 156 | ], 157 | "source": [ 158 | "data.tail()" 159 | ] 160 | }, 161 | { 162 | "cell_type": "markdown", 163 | "metadata": {}, 164 | "source": [ 165 | "## Plotting the Data" 166 | ] 167 | }, 168 | { 169 | "cell_type": "code", 170 | "execution_count": 7, 171 | "metadata": { 172 | "collapsed": false 173 | }, 174 | "outputs": [ 175 | { 176 | "data": { 177 | "text/html": [ 178 | "" 179 | ], 180 | "text/plain": [ 181 | "" 182 | ] 183 | }, 184 | "execution_count": 7, 185 | "metadata": {}, 186 | "output_type": "execute_result" 187 | } 188 | ], 189 | "source": [ 190 | "data.iplot(filename='financial', world_readable=True)" 191 | ] 192 | }, 193 | { 194 | "cell_type": "code", 195 | "execution_count": 8, 196 | "metadata": { 197 | "collapsed": false 198 | }, 199 | "outputs": [ 200 | { 201 | "data": { 202 | "text/html": [ 203 | "" 204 | ], 205 | "text/plain": [ 206 | "" 207 | ] 208 | }, 209 | "execution_count": 8, 210 | "metadata": {}, 211 | "output_type": "execute_result" 212 | } 213 | ], 214 | "source": [ 215 | "data['AAPL'].iplot(filename='best_fit', bestfit=True, colors=['pink'],\n", 216 | " bestfit_colors=['blue'], world_readable=True)" 217 | ] 218 | }, 219 | { 220 | "cell_type": "markdown", 221 | "metadata": {}, 222 | "source": [ 223 | "\"datapark\"
\n", 224 | "\n", 225 | "datapark.io | @dataparkio | team@datapark.io" 226 | ] 227 | } 228 | ], 229 | "metadata": { 230 | "kernelspec": { 231 | "display_name": "Python 2", 232 | "language": "python", 233 | "name": "python2" 234 | }, 235 | "language_info": { 236 | "codemirror_mode": { 237 | "name": "ipython", 238 | "version": 2 239 | }, 240 | "file_extension": ".py", 241 | "mimetype": "text/x-python", 242 | "name": "python", 243 | "nbconvert_exporter": "python", 244 | "pygments_lexer": "ipython2", 245 | "version": "2.7.10" 246 | } 247 | }, 248 | "nbformat": 4, 249 | "nbformat_minor": 0 250 | } 251 | -------------------------------------------------------------------------------- /jupserver/ipynbs/quandl.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "\"datpark\"
" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "# Analyzing Bitcoin Data with PQP and Quandl.com" 15 | ] 16 | }, 17 | { 18 | "cell_type": "code", 19 | "execution_count": 1, 20 | "metadata": { 21 | "collapsed": false 22 | }, 23 | "outputs": [], 24 | "source": [ 25 | "import pandas as pd\n", 26 | "import urllib\n", 27 | "import json\n", 28 | "import matplotlib as mpl\n", 29 | "mpl.use('agg')\n", 30 | "import seaborn as sns; sns.set()\n", 31 | "%matplotlib inline" 32 | ] 33 | }, 34 | { 35 | "cell_type": "code", 36 | "execution_count": 2, 37 | "metadata": { 38 | "collapsed": false 39 | }, 40 | "outputs": [], 41 | "source": [ 42 | "def read_quandl(url):\n", 43 | " d = json.loads(urllib.urlopen(url).read())\n", 44 | " df = pd.DataFrame(d['data'], columns=d['column_names']).set_index('Date').sort()\n", 45 | " return df" 46 | ] 47 | }, 48 | { 49 | "cell_type": "markdown", 50 | "metadata": {}, 51 | "source": [ 52 | "## Number of Bitcoins" 53 | ] 54 | }, 55 | { 56 | "cell_type": "code", 57 | "execution_count": 3, 58 | "metadata": { 59 | "collapsed": false 60 | }, 61 | "outputs": [], 62 | "source": [ 63 | "url = \"https://www.quandl.com/api/v1/datasets/BCHAIN/TOTBC.json\"" 64 | ] 65 | }, 66 | { 67 | "cell_type": "code", 68 | "execution_count": 4, 69 | "metadata": { 70 | "collapsed": false 71 | }, 72 | "outputs": [], 73 | "source": [ 74 | "number = read_quandl(url)" 75 | ] 76 | }, 77 | { 78 | "cell_type": "markdown", 79 | "metadata": {}, 80 | "source": [ 81 | "Number of **Bitcoins in existence**." 82 | ] 83 | }, 84 | { 85 | "cell_type": "code", 86 | "execution_count": 5, 87 | "metadata": { 88 | "collapsed": false 89 | }, 90 | "outputs": [ 91 | { 92 | "data": { 93 | "text/plain": [ 94 | "" 95 | ] 96 | }, 97 | "execution_count": 5, 98 | "metadata": {}, 99 | "output_type": "execute_result" 100 | }, 101 | { 102 | "data": { 103 | "image/png": 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7TvRO/jktMY4bLs/i8sUzWZyXFjZHqiZCP8eTEQ1Yxpi5wFPAPdbakqE+rqam+eIbyZjn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\nrkJggg==\n", 104 | "text/plain": [ 105 | "" 106 | ] 107 | }, 108 | "metadata": {}, 109 | "output_type": "display_data" 110 | } 111 | ], 112 | "source": [ 113 | "number.plot(figsize=(10, 5))" 114 | ] 115 | }, 116 | { 117 | "cell_type": "markdown", 118 | "metadata": {}, 119 | "source": [ 120 | "## Bitcoin Rate" 121 | ] 122 | }, 123 | { 124 | "cell_type": "code", 125 | "execution_count": 6, 126 | "metadata": { 127 | "collapsed": false 128 | }, 129 | "outputs": [], 130 | "source": [ 131 | "url = \"https://www.quandl.com/api/v1/datasets/BAVERAGE/USD.json\"" 132 | ] 133 | }, 134 | { 135 | "cell_type": "code", 136 | "execution_count": 7, 137 | "metadata": { 138 | "collapsed": false 139 | }, 140 | "outputs": [], 141 | "source": [ 142 | "quotes = read_quandl(url)" 143 | ] 144 | }, 145 | { 146 | "cell_type": "markdown", 147 | "metadata": {}, 148 | "source": [ 149 | "**Historical** Bitcoin rate in USD." 150 | ] 151 | }, 152 | { 153 | "cell_type": "code", 154 | "execution_count": 8, 155 | "metadata": { 156 | "collapsed": false 157 | }, 158 | "outputs": [ 159 | { 160 | "data": { 161 | "text/plain": [ 162 | "array([,\n", 163 | " ], dtype=object)" 164 | ] 165 | }, 166 | "execution_count": 8, 167 | "metadata": {}, 168 | "output_type": "execute_result" 169 | }, 170 | { 171 | "data": { 172 | "image/png": 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SkqBcubzP7/fD3XdHAFC/vp8rrvCj9SlsNli92pqbbsMGO+PGubHZTK66ysf11/vYtClz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173 | "text/plain": [ 174 | "" 175 | ] 176 | }, 177 | "metadata": {}, 178 | "output_type": "display_data" 179 | } 180 | ], 181 | "source": [ 182 | "quotes[['24h Average', 'Total Volume']][quotes.index > '2012-12-31'].plot(\n", 183 | " subplots=True, figsize=(10, 5), color='b')" 184 | ] 185 | }, 186 | { 187 | "cell_type": "markdown", 188 | "metadata": {}, 189 | "source": [ 190 | "Bitcoin rate to the USD **in 2015**." 191 | ] 192 | }, 193 | { 194 | "cell_type": "code", 195 | "execution_count": 9, 196 | "metadata": { 197 | "collapsed": false 198 | }, 199 | "outputs": [ 200 | { 201 | "data": { 202 | "text/plain": [ 203 | "array([,\n", 204 | " ], dtype=object)" 205 | ] 206 | }, 207 | "execution_count": 9, 208 | "metadata": {}, 209 | "output_type": "execute_result" 210 | }, 211 | { 212 | "data": { 213 | "image/png": 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pUlNeDe22weeibt06/yxclSp5KVhQIzLSw8CBzhwd06CBB6tVY9u2vHHJr1hh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Fd5WRY5z726dGmAkSPTCYe97PnqV+QyM51S57Z27RzOOSfCunWBUuNyvTW1IlneVeXUUyNkZjr8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\nLMC6dRHWr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214 | "text/plain": [ 215 | "" 216 | ] 217 | }, 218 | "metadata": {}, 219 | "output_type": "display_data" 220 | } 221 | ], 222 | "source": [ 223 | "quotes[['24h Average', 'Total Volume']][quotes.index > '2014-12-31'].plot(\n", 224 | " subplots=True, figsize=(10, 5), color='b')" 225 | ] 226 | }, 227 | { 228 | "cell_type": "markdown", 229 | "metadata": {}, 230 | "source": [ 231 | "\"datapark\"
\n", 232 | "\n", 233 | "datapark.io | @dataparkio | team@datapark.io" 234 | ] 235 | } 236 | ], 237 | "metadata": { 238 | "kernelspec": { 239 | "display_name": "Python 2", 240 | "language": "python", 241 | "name": "python2" 242 | }, 243 | "language_info": { 244 | "codemirror_mode": { 245 | "name": "ipython", 246 | "version": 2 247 | }, 248 | "file_extension": ".py", 249 | "mimetype": "text/x-python", 250 | "name": "python", 251 | "nbconvert_exporter": "python", 252 | "pygments_lexer": "ipython2", 253 | "version": "2.7.10" 254 | } 255 | }, 256 | "nbformat": 4, 257 | "nbformat_minor": 0 258 | } 259 | -------------------------------------------------------------------------------- /jupserver/ipython_notebook_config.py: -------------------------------------------------------------------------------- 1 | c = get_config() 2 | c.NotebookApp.certfile = '/root/.ipython/profile_default/jup_cert.pem' 3 | -------------------------------------------------------------------------------- /jupserver/jup_cert.pem: -------------------------------------------------------------------------------- 1 | -----BEGIN PRIVATE KEY----- 2 | MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl8wggJbAgEAAoGBAJf8LxhYXLj098vs 3 | ttZNXI2FjZn7Zvg9q7aGGSsn0Cf+/a74ooiItyznfBgSxNO9e9pr9VQaX/gTudcx 4 | QOoQgyrN7FI0++InxoddZGvGPGvqolCpMXEjq77h0UqA8c3iNW2OolJ80zFj1l5+ 5 | eiF1U8EdB9s6SoAFGB5SS/RoGvqrAgMBAAECgYA/G+M+W6qcznN6hN9i2xq8VSF4 6 | N/EI0SrVDpey2MRRZ0tVdT6gLQzKo5BeuqRqO7sK9lsXQiBpdV9soLIQvyyHXL6U 7 | HYpgRR4u9cPku/GhbJXlWnAsomxoZRVNjE+WutGoHu95Ba6WDA0Bw8l9vh6AZ8Yg 8 | GM76Qe/C68g7SRo24QJBAMpjQHlR4T489sNKcd6U/bV5/tTlSzMCJ1242m+P0G5f 9 | WfPv2kz8gVzWV3lcorQ5ZTzjOvhwMtQF+l9ysKcwk/ECQQDAPuwoyKUS6ADxrNQP 10 | nNgHKY/d+PpU7yQ5rWosVVPV6awoCShpai/M30EVZZP7E+G6nzQ0upkxncYbI3pc 11 | EKRbAkASi1ecBjGiV0mxCUA3yeUZXM1JypzCVr8uqkJxmHbbtiby4BZbmYNs80Le 12 | nutVojCxjIyZuQYfQVD4r/SZzSyxAkBSjTJ/uNkZq0JshNhy89jYCoLawIVOX3pg 13 | whSrgOCFJNhmQLh3u79W7C9YbswCruDpcF/MnKwX4DYnhS6Pxh2tAkA5M72gOEBy 14 | kdHzKBhg/WPBEfovRl6QD4Ec8L6K44Ptp1TXreuMWLRb70KSSxeSkx5qK0hfSbs/ 15 | PnZJQnh8UCxo 16 | -----END PRIVATE KEY----- 17 | -----BEGIN CERTIFICATE----- 18 | MIICmjCCAgOgAwIBAgIJAMR2ypY9FfIgMA0GCSqGSIb3DQEBBQUAMGYxCzAJBgNV 19 | BAYTAkRFMRMwEQYDVQQIDApTb21lLVN0YXRlMRQwEgYDVQQHDAtWb2Vsa2xpbmdl 20 | bjEaMBgGA1UECgwRVGhlIFB5dGhvbiBRdWFudHMxEDAOBgNVBAMMB2p1cHl0ZXIw 21 | HhcNMTUwODE2MDgyODU5WhcNMTYwODE1MDgyODU5WjBmMQswCQYDVQQGEwJERTET 22 | MBEGA1UECAwKU29tZS1TdGF0ZTEUMBIGA1UEBwwLVm9lbGtsaW5nZW4xGjAYBgNV 23 | BAoMEVRoZSBQeXRob24gUXVhbnRzMRAwDgYDVQQDDAdqdXB5dGVyMIGfMA0GCSqG 24 | SIb3DQEBAQUAA4GNADCBiQKBgQCX/C8YWFy49PfL7LbWTVyNhY2Z+2b4Pau2hhkr 25 | J9An/v2u+KKIiLcs53wYEsTTvXvaa/VUGl/4E7nXMUDqEIMqzexSNPviJ8aHXWRr 26 | xjxr6qJQqTFxI6u+4dFKgPHN4jVtjqJSfNMxY9ZefnohdVPBHQfbOkqABRgeUkv0 27 | aBr6qwIDAQABo1AwTjAdBgNVHQ4EFgQUWsZqAakt/UkGYSWLCMMMDfE8a2YwHwYD 28 | VR0jBBgwFoAUWsZqAakt/UkGYSWLCMMMDfE8a2YwDAYDVR0TBAUwAwEB/zANBgkq 29 | hkiG9w0BAQUFAAOBgQCOV3BsZDzTKmadeQ8cwV+maiz1qnpVMLorf6WJf08s1fYx 30 | KOQSW7Dd3g8Kj6952eR4JmV69B27ivut3BBDyVGt5Xbir8+gf/m5kuPXGHsSrx6j 31 | dG8aBVZHb81cIYC1FV+Yo2jbdRvWgSJ7MW+ovwE4TLyh1HkjwHR1tYxDnFMOjg== 32 | -----END CERTIFICATE----- 33 | -------------------------------------------------------------------------------- /jupserver/notebook.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | # Script to Start 4 | # Jupyter Notebook Server 5 | # 6 | # Dr. Yves J. Hilpisch 7 | # The Python Quants GmbH 8 | # 9 | 10 | PW = expr $1 11 | PORT = expr $2 12 | 13 | echo -n $PW | awk '{print "c.NotebookApp.password = '\''" $1 "'\''"}' >> /root/.ipython/profile_default/ipython_notebook_config.py 14 | 15 | export PATH="/root/anaconda/bin:$PATH" 16 | 17 | ipython notebook --no-browser --port $PORT --ip=* 18 | 19 | -------------------------------------------------------------------------------- /pythoncontainer/Dockerfile: -------------------------------------------------------------------------------- 1 | # Docker Container with 2 | # Basic Python Install 3 | # 4 | # Dr. Yves J. Hilpisch 5 | # The Python Quants GmbH 6 | 7 | FROM ubuntu:trusty 8 | 9 | MAINTAINER yves 10 | 11 | ADD install.sh / 12 | RUN chmod u+x /install.sh 13 | RUN /install.sh 14 | ENV PATH /root/miniconda/bin:$PATH 15 | 16 | CMD ["/bin/bash"] 17 | -------------------------------------------------------------------------------- /pythoncontainer/install.sh: -------------------------------------------------------------------------------- 1 | # 2 | # Script to Install 3 | # Basic Python Components 4 | # 5 | # Dr. Yves J. Hilpisch 6 | # The Python Quants GmbH 7 | # 8 | 9 | 10 | # GENERAL LINUX 11 | export DEBIAN_FRONTEND=noninteractive 12 | apt-get update 13 | apt-get upgrade -y 14 | apt-get install -y git screen htop wget nano bzip2 15 | apt-get upgrade -y bash 16 | apt-get clean 17 | rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* 18 | 19 | # INSTALL ANACONDA 20 | wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda-2.3.0-Linux-x86_64.sh -O Anaconda.sh 21 | bash Anaconda.sh -b 22 | rm -rf Anaconda.sh 23 | 24 | export PATH="/root/anaconda/bin:$PATH" 25 | 26 | # INSTALL PYTHON LIBRARIES 27 | conda install seaborn 28 | pip install plotly 29 | pip install cufflinks 30 | pip install tstables 31 | 32 | -------------------------------------------------------------------------------- /serverapp/forms.py: -------------------------------------------------------------------------------- 1 | # 2 | # Data Input Form 3 | # forms.py 4 | # 5 | # (c) Dr. Yves J. Hilpisch 6 | # The Python Quants GmbH 7 | # 8 | 9 | from wtforms import TextField 10 | from wtforms.fields import SubmitField 11 | from wtforms.fields.html5 import EmailField 12 | from wtforms.validators import DataRequired 13 | from flask.ext.wtf import Form 14 | 15 | class Registration(Form): 16 | first_name = TextField('First Name', 17 | validators=[DataRequired()]) 18 | last_name = TextField('Last Name', 19 | validators=[DataRequired()]) 20 | email = EmailField('Email Address', 21 | validators=[DataRequired()]) 22 | submit = SubmitField() 23 | -------------------------------------------------------------------------------- /serverapp/rmdocker.sh: -------------------------------------------------------------------------------- 1 | docker stop $(docker ps -a -q) 2 | docker rm $(docker ps -a -q) 3 | -------------------------------------------------------------------------------- /serverapp/run_app.py: -------------------------------------------------------------------------------- 1 | # 2 | # WSGI Wrapper for the 3 | # IPython Notebook Server App 4 | # based on Docker Containers 5 | # 6 | # run_app.py 7 | # 8 | from tornado.wsgi import WSGIContainer 9 | from tornado.httpserver import HTTPServer 10 | from tornado.ioloop import IOLoop 11 | from server_app import app 12 | 13 | http_server = HTTPServer(WSGIContainer(app)) 14 | http_server.listen(8888) # serving on port 8888 15 | IOLoop.instance().start() 16 | -------------------------------------------------------------------------------- /serverapp/server_app.py: -------------------------------------------------------------------------------- 1 | # 2 | # Running IPython Notebook 3 | # in Docker Containers 4 | # 5 | # server_app.py 6 | # 7 | # (c) Dr. Yves J. Hilpisch 8 | # The Python Quants GmbH 9 | # 10 | import os 11 | import string 12 | import random 13 | from IPython.lib import passwd 14 | import datetime as dt 15 | from flask import Flask, request, render_template, redirect, url_for 16 | from flask.ext.sqlalchemy import SQLAlchemy 17 | from forms import Registration 18 | 19 | charset = string.uppercase + string.lowercase + string.punctuation 20 | 21 | app = Flask(__name__) 22 | app.secret_key = '\xb6\xa5hA\x01{\x0f\xd6su\xeb\xd6:4\x13u^O\x15f\xe3\xaf*\xde' 23 | 24 | 25 | # Configuration of the App 26 | 27 | app.config.update(dict( 28 | SQLALCHEMY_DATABASE_URI='sqlite:///subscriber.db', 29 | DEBUG=False,)) 30 | 31 | if app.config['DEBUG'] is True: 32 | app.config.update(dict( 33 | SQLALCHEMY_DATABASE_URI='sqlite:///debug.db')) 34 | 35 | # Database Class 36 | 37 | db = SQLAlchemy(app) 38 | 39 | class Subscriber(db.Model): 40 | id = db.Column(db.Integer, primary_key=True) 41 | datetime = db.Column(db.DateTime()) 42 | first_name = db.Column(db.String(80), unique=False) 43 | last_name = db.Column(db.String(80), unique=False) 44 | email = db.Column(db.String(120), unique=False) 45 | port = db.Column(db.Integer, unique=False) 46 | 47 | def __init__(self, first_name, last_name, email, port): 48 | self.datetime = dt.datetime.now() 49 | self.first_name = first_name 50 | self.last_name = last_name 51 | self.email = email 52 | self.port = port 53 | 54 | def __repr__(self): 55 | return '' % self.last_name 56 | 57 | db.create_all() 58 | 59 | port = 9000 # initial value 60 | 61 | # Pages and Functionality 62 | 63 | @app.errorhandler(404) 64 | def page_not_found(e): 65 | return render_template('404.html'), 404 66 | 67 | @app.route("/", methods=['GET', 'POST']) 68 | def main(): 69 | with open('time_logging.log', 'a') as f: 70 | f.write(str(dt.datetime.now()) + '\n') 71 | global port 72 | port += 1 73 | error = None 74 | form = Registration(csrf_enabled=False) 75 | if request.method == 'POST' and form.validate(): 76 | try: 77 | subscriber = Subscriber(request.form['first_name'], 78 | request.form['last_name'], 79 | request.form['email'], 80 | port) 81 | db.session.add(subscriber) 82 | db.session.commit() 83 | return redirect(url_for('server', first_name=request.form['first_name'])) 84 | except: 85 | error = 'Error writing to database.' 86 | return render_template('registration.html', form=form, error=error) 87 | 88 | @app.route("/server/") 89 | def server(first_name): 90 | global port 91 | pw = '' 92 | for i in range(8): 93 | pw += random.choice(charset) 94 | pws = passwd(pw) 95 | os.system("sudo docker run -d -t -e 'PW=%s' -e 'PORT=%d' -p %d:%d -m 500m jupserver" 96 | % (pws, port, port, port)) 97 | return render_template('server.html', first_name=first_name, port=port, pw=pw) 98 | 99 | 100 | if __name__ == '__main__': 101 | app.run(host='0.0.0.0', port=8888, debug=True) 102 | -------------------------------------------------------------------------------- /serverapp/static/style.css: -------------------------------------------------------------------------------- 1 | /* style.css */ 2 | body { font-family: 'PT Sans', sans-serif; background: #eee; } 3 | a, h1, h2 { color: #021A80; } 4 | h1, h2 { font-family: 'PT Sans', sans-serif; margin: 0; text-align: center;} 5 | h1 { font-size: 1.4em; border-bottom: 2px solid #eee; } 6 | h2 { font-size: 1.0em; } 7 | 8 | a:link { color: #B40404; text-decoration:none; } 9 | a:visited { color: #B40404; text-decoration:none; } 10 | 11 | .page { font-family: 'PT Sans', sans-serif; margin: 2em auto; width: 66em; 12 | padding: 0.8em; background: white; color: #021A80} 13 | 14 | .metanav { text-align: right; font-size: 1em; padding: 0.3em; 15 | margin-bottom: 1em; background: #fafafa; } 16 | 17 | .logo img { width: 30%; display: block; margin-right: auto; 18 | margin-left: auto; } 19 | 20 | .errors { font-size: 0.8em; color: red;} 21 | 22 | .form { text-align: center;} 23 | 24 | .footer { font-size: 0.8em; text-align: center; } 25 | 26 | .linktext { font-size: 1.2em; text-align: center; } 27 | -------------------------------------------------------------------------------- /serverapp/templates/404.html: -------------------------------------------------------------------------------- 1 | {% extends "layout.html" %} 2 | {% block body %} 3 | 4 |

Sorry, but the page your are looking for obviously does not exist. If you typed the URL manually, check again for errors. 5 |

Go back to main page 6 | 7 | 8 | {% endblock %} 9 | -------------------------------------------------------------------------------- /serverapp/templates/layout.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | Jupyter in Docker Containers (The Python Quants) 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 14 | 15 | 17 | 18 |
19 | 20 | 23 | 24 |
25 | back to main 26 |
27 | {% block body %} 28 | 29 | {% endblock %} 30 | 39 |
40 | -------------------------------------------------------------------------------- /serverapp/templates/registration.html: -------------------------------------------------------------------------------- 1 | 2 | {% extends "layout.html" %} 3 | 4 | {% macro render_field(field) %} 5 |
{{ field.label }} 6 |
{{ field(**kwargs)|safe }} 7 | {% if field.errors %} 8 |
    9 | {% for error in field.errors %} 10 |
    {{ error }}
    11 | {% endfor %} 12 |
13 | {% endif %} 14 |
15 | {% endmacro %} 16 | 17 | {% block body %} 18 | 19 |
20 |
22 |
23 |

Fire up your own, temporary Jupyter Notebook server.


24 | 25 |
This whole page is for illustration only.
26 | You can easily start your own Jupyter server in a Docker container.
27 | However, the service might be shut down at any time.
28 | Files, data, notebooks, etc. then get lost.


29 | 30 | {% if error %} 31 |

Error: {{ error }}

32 | {% endif %} 33 | 34 |
{{ render_field( form.first_name ) }}

35 |
{{ render_field( form.last_name ) }}

36 |
{{ render_field( form.email ) }}

37 |
{{ form.submit | safe }}
38 | 39 |
40 |
41 |
42 | 43 | {% endblock %} 44 | -------------------------------------------------------------------------------- /serverapp/templates/server.html: -------------------------------------------------------------------------------- 1 | 2 | {% extends "layout.html" %} 3 | 4 | {% block body %} 5 | 6 | 7 |

The Jupyter Notebook Server for {{ first_name }}

8 | 9 |
10 |


11 | Your password to access the server is (copy it):

{{ pw }}

12 | To access your server follow this link (and paste the password).
13 |
The server uses SSL encryption — you might need to add a security exception in your browser.
14 |

(Have a look at the example files e.g. for plotting configurations.) 15 |


Thank you for visiting. 16 |
17 | 18 | 19 | 20 | 21 | {% endblock %} 22 | -------------------------------------------------------------------------------- /serverapp/time_logging.log: -------------------------------------------------------------------------------- 1 | 2015-08-17 11:30:14.089460 --> initial yves 2 | 2015-08-17 11:31:10.229586 3 | 2015-08-17 11:31:10.372787 4 | 2015-08-17 11:31:11.406398 5 | 2015-08-17 11:31:11.493963 6 | 2015-08-17 11:31:11.649654 7 | 2015-08-17 11:31:12.368620 8 | 2015-08-17 11:31:13.950905 9 | 2015-08-17 11:31:14.456520 10 | 2015-08-17 11:31:18.188758 11 | 2015-08-17 11:31:19.712037 12 | 2015-08-17 11:31:24.780463 13 | 2015-08-17 11:31:24.791846 14 | 2015-08-17 11:31:53.757651 15 | 2015-08-17 11:31:54.316521 16 | 2015-08-17 11:31:54.537472 17 | 2015-08-17 11:32:11.946761 18 | 2015-08-17 11:32:25.933691 19 | --------------------------------------------------------------------------------