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from networkx.readwrite import json_graph
import json

# Return data in adjacency format that is suitable for 
# JSON serialization and use in Javascript documents.
# more @https://goo.gl/QoRlbL
data = json_graph.adjacency_data(G)

with codecs.open('matrix.json', 'w', encoding='utf-8') as f:
    json.dump(data, f)

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{
  "directed": false,
  "graph": [],
  "nodes": [{
    "id": "Christian Wolff (philosopher)"
  }, {
    "id": "Martin Heidegger"
  }, {
    "id": "Lucretius"
  }, {

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{
  "directed": false,
  "graph": [],
  "nodes": [{
    "id": "Simulink"
  }, {
    "id": "IntelliCorp (Software)"
  }, {
    "id": "Hope (programming language)"
  }, {

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# download the file @ https://www.dropbox.com/s/urqmc4jgt66hbef/notMNIST.pickle?dl=0
pickle_file = 'notMNIST.pickle'

from time import strftime
from math import sqrt
from __future__ import print_function
import numpy as np
import tensorflow as tf
from six.moves import cPickle as pickle

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Atom Beautify - Debugging information

The following debugging information was generated by Atom Beautify on Sat Jun 11 2016 12:58:56 GMT+0200 (W. Europe Daylight Time).

---

Table Of Contents

• Versions
• Original file to be beautified
• Original File Contents

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import json
import re
import urllib2

path_to_save = '' # create a directory and write the name of directory here
data_file = urllib2.urlopen('https://github.com/NREL/EnergyPlus/raw/develop/weather/master.geojson')
data = json.load(data_file)
# or you can download master.geojson and run the below code instead of downloading from the net
# with open('master.geojson') as data_file:    
#     data = json.load(data_file)

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Github Flavored Theme for Ipython/Jupyter Notebook

Put custom.css in .jupyter/custom/ (if you are running recent version of Jupyter).

Note: Tested only on Chrome. Let me know if something is not working.

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