Francis Tseng frnsys

## ecs-annotated.py
import uuid
import json


# Returns a python dictionary given a file containing a JSON-based
# component definition. Every definition *must* contain a 'type'
# and 'schema' field inside a top-level dictionary. Here is an
# example of a simple schema file that defines a 'meta' component
# containing a 'name' field.
#

## Pandas and Seaborn.ipynb

      
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                5agado
                / Pandas and Seaborn.ipynb
            
            
              Created
              February 20, 2017 13:33
            
              
                Data Manipulation and Visualization with Pandas and Seaborn — A Practical Introduction
              
          
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## theano_mlp_small.py
"""A stripped-down MLP example, using Theano.

Based on the tutorial here: http://deeplearning.net/tutorial/mlp.html

This example trims away some complexities, and makes it easier to see how Theano works.

Design changes:

* Model compiled in a distinct function, so that symbolic variables are not in run-time scope.
* No classes. Network shown by chained function calls.

## osx-for-hackers.sh
#!/bin/sh

###
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
###

# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx

## websocketserver.py
import struct
import SocketServer
from base64 import b64encode
from hashlib import sha1
from mimetools import Message
from StringIO import StringIO

class WebSocketsHandler(SocketServer.StreamRequestHandler):
    magic = '258EAFA5-E914-47DA-95CA-C5AB0DC85B11'

## pedantically_commented_playbook.yml
This playbook has been removed as it is now very outdated.

## ka_bnet_pandas.py
#!/usr/bin/env python

from pandas import DataFrame, Series

import numpy as np
import math
import random
import copy

NaN_Flag = -1  # pandas uses np.nan, but that coerces ints to floats :(
	import uuid
	import json


	# Returns a python dictionary given a file containing a JSON-based
	# component definition. Every definition must contain a 'type'
	# and 'schema' field inside a top-level dictionary. Here is an
	# example of a simple schema file that defines a 'meta' component
	# containing a 'name' field.
	#
	"""A stripped-down MLP example, using Theano.

	Based on the tutorial here: http://deeplearning.net/tutorial/mlp.html

	This example trims away some complexities, and makes it easier to see how Theano works.

	Design changes:

	* Model compiled in a distinct function, so that symbolic variables are not in run-time scope.
	* No classes. Network shown by chained function calls.
	#!/bin/sh

	###
	# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
	# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
	###

	# Alot of these configs have been taken from the various places
	# on the web, most from here
	# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx
	import struct
	import SocketServer
	from base64 import b64encode
	from hashlib import sha1
	from mimetools import Message
	from StringIO import StringIO

	class WebSocketsHandler(SocketServer.StreamRequestHandler):
	magic = '258EAFA5-E914-47DA-95CA-C5AB0DC85B11'
	#!/usr/bin/env python

	from pandas import DataFrame, Series

	import numpy as np
	import math
	import random
	import copy

	NaN_Flag = -1 # pandas uses np.nan, but that coerces ints to floats :(