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## ProgrammaticNotebook.ipynb

      
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                Creating an IPython Notebook programatically
              
          
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## cubes_pyode_vapory.py
"""

Physics simulation with PyODE followed by a (basic) rendering with Vapory
See the result here: http://i.imgur.com/TdhxwGz.gifv

Zulko 2014
This script is placed in the Public Domain (Licence Creative Commons 0)

"""

## tornado+asyncio+sqlalchemy+aiopg.py
# -*- coding: utf-8 -*-
from random import randint

import tornado.concurrent
import tornado.platform.asyncio
import tornado.web

from aiopg.sa import create_engine as aiopg_create_engine
import asyncio

## Python3, Pip3, Virtualenv and Virtualenvwrapper Setup
First install pip for Python2. Download the get-pip.py file from https://bootstrap.pypa.io/get-pip.py
$ cd <download location>
$ sudo -H python ./get-pip.py

Installing pip also installs Python3
To run Python3
$ python3

Install pip3 by just executing the same file as in the step above, but this time using Python3
$ sudo -H python3 ./get-pip.py

## simple_python_datasource.py
from flask import Flask, request, jsonify, json, abort
from flask_cors import CORS, cross_origin

import pandas as pd

app = Flask(__name__)

cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'

## Run Neural Network as UDF on BigQuery
-- CAUTION: If you use this UDF to many images, you may lose many-many money.

CREATE TEMPORARY FUNCTION predictMnist(test ARRAY<FLOAT64>)
RETURNS FLOAT64
  LANGUAGE js AS """
  var nj = globalNumjs;
  const ntest = nj.array(test);
  const nw1 = nj.array(w1);
  const nw2 = nj.array(w2);
  const nw3 = nj.array(w3);
	"""

	Physics simulation with PyODE followed by a (basic) rendering with Vapory
	See the result here: http://i.imgur.com/TdhxwGz.gifv

	Zulko 2014
	This script is placed in the Public Domain (Licence Creative Commons 0)

	"""
	# -- coding: utf-8 --
	from random import randint

	import tornado.concurrent
	import tornado.platform.asyncio
	import tornado.web

	from aiopg.sa import create_engine as aiopg_create_engine
	import asyncio
	First install pip for Python2. Download the get-pip.py file from https://bootstrap.pypa.io/get-pip.py
	$ cd <download location>
	$ sudo -H python ./get-pip.py

	Installing pip also installs Python3
	To run Python3
	$ python3

	Install pip3 by just executing the same file as in the step above, but this time using Python3
	$ sudo -H python3 ./get-pip.py
	from flask import Flask, request, jsonify, json, abort
	from flask_cors import CORS, cross_origin

	import pandas as pd

	app = Flask(__name__)

	cors = CORS(app)
	app.config['CORS_HEADERS'] = 'Content-Type'
	-- CAUTION: If you use this UDF to many images, you may lose many-many money.

	CREATE TEMPORARY FUNCTION predictMnist(test ARRAY<FLOAT64>)
	RETURNS FLOAT64
	LANGUAGE js AS """
	var nj = globalNumjs;
	const ntest = nj.array(test);
	const nw1 = nj.array(w1);
	const nw2 = nj.array(w2);
	const nw3 = nj.array(w3);