Gordon Bean brazilbean

## preprocessors.py
'''Specialized Preprocessors'''

import nbconvert, nbformat, re, sys
from nbconvert.preprocessors import ExecutePreprocessor, Preprocessor
from traitlets import Dict, Unicode
from textwrap import dedent

from warnings import warn
def warn_deprecated(msg):
    '''Raise a DeprecationWarning'''

## Gist - Creating reports using Jupyter Notebooks - Output.ipynb

      
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                / Gist - Creating reports using Jupyter Notebooks - Output.ipynb
            
            
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              July 22, 2016 17:04
            
              
                Gist - Creating reports using Jupyter Notebooks - Output
              
          
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## Gist - Creating reports using Jupyter Notebooks.ipynb

      
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                / Gist - Creating reports using Jupyter Notebooks.ipynb
            
            
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              July 20, 2022 09:12
            
              
                Create a report using a Jupyter Notebook
              
          
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## ModuleMagic Demo
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The ModuleMagic cell magic\n",
    "Gordon Bean, April 2015"
   ]
  },

## declaring_variables_in_anonymity.m
% Consider the scenario where you want to declare
%  an anonymous function to do some task, but it
%  requires multiple uses of a result that is
%  expensive to compute.
% For example, consider the following series of statements:

a = rand(1000);
b = rand(1000);
c = a * b;
[a./c b./c]

## Scripture Crawler - GraphML.ipynb

      
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                brazilbean
                / Scripture Crawler - GraphML.ipynb
            
            
              Created
              May 6, 2013 22:05
            
              
                IPython Notebook for crawling the LDS Scriptures footnote network (scriptures.lds.org). It uses BeautifulSoup (http://www.crummy.com/software/BeautifulSoup/). 
              
          
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	'''Specialized Preprocessors'''

	import nbconvert, nbformat, re, sys
	from nbconvert.preprocessors import ExecutePreprocessor, Preprocessor
	from traitlets import Dict, Unicode
	from textwrap import dedent

	from warnings import warn
	def warn_deprecated(msg):
	'''Raise a DeprecationWarning'''
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"# The ModuleMagic cell magic\n",
	"Gordon Bean, April 2015"
	]
	},
	% Consider the scenario where you want to declare
	% an anonymous function to do some task, but it
	% requires multiple uses of a result that is
	% expensive to compute.
	% For example, consider the following series of statements:

	a = rand(1000);
	b = rand(1000);
	c = a * b;
	[a./c b./c]