Mustafa Abdelhamid dosht

## How we use cloudfront and next.js.md

      
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                rbalicki2
                / How we use cloudfront and next.js.md
            
            
              Created
              April 21, 2018 20:35
            
          
    How we incorporate next and cloudfront (2018-04-21)


Feel free to contact me at robert.balicki@gmail.com or tweet at me @statisticsftw

This is a rough outline of how we utilize next.js and S3/Cloudfront. Hope it helps!
It assumes some knowledge of AWS.
Goals


## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## README.md

      
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                eric
                / README.md
            
            
              Last active
              December 17, 2015 00:39
            
              
                Zookeeper-based storage adapter for rollout
              
          
    Update

You can now find this packaged up nicely in a rubygem as rollout-zk.

Zookeeper storage adapter for rollout

I've implemented a zookeeper-based storage adapter for [rollout][] that does not require any network roundtrips to check if a feature is active for a user.

  
## ex2.py
#!/usr/bin/env python
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize
from numpy import newaxis, r_, c_, mat, e
from numpy.linalg import *

def plotData(X, y):
    #pos = (y.ravel() == 1).nonzero()
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	#!/usr/bin/env python
	from __future__ import division
	import numpy as np
	import matplotlib.pyplot as plt
	from scipy import optimize
	from numpy import newaxis, r_, c_, mat, e
	from numpy.linalg import *

	def plotData(X, y):
	#pos = (y.ravel() == 1).nonzero()