Glavin001

Using Styler Chrome extension.

Glavin001

Github Events Analysis with Neo4j

On July 22, Github announced the 3rd Annual Github Data Challenge presenting multiple sources of data available.

This sounded to me a good opportunity to use their available data and import it in Neo4j in order to have a lot of fun at analyzing the data that fits naturally in a graph.

As I work mainly offline or behind military proxies that do not permit me to use the ReST API, I decided to go for the Github Archive available here, you can then download json files representing Github Events on a daily/hour basis.

Glavin001

import string
import re
import nltk

def normalize(text):
	# remove punctuation
	text = re.sub('[%s]' % re.escape(string.punctuation), '', text)
	# split into words
	# nltk.data.path.append("/nltk_data")
	from nltk.tokenize import word_tokenize

Glavin001

import string
import re
import nltk

def normalize(text):
	# remove punctuation
	text = re.sub('[%s]' % re.escape(string.punctuation), '', text)
	# split into words
	# nltk.data.path.append("/nltk_data")
	from nltk.tokenize import word_tokenize

Glavin001

function install_faiss() {
  pyenv shell rise
  pip install numpy
  sudo apt-get install -y \
    build-essential \
    libopenblas-dev \
    gfortran \
    swig

  PREFIX_MAIN=$(pyenv virtualenv-prefix)

Glavin001

1. Run the RunInBrowser.js script by copying and pasting into the Developer Tools' Console.

Glavin001

<?php

require_once __DIR__.'/../vendor/autoload.php';

use Symfony\Component\Console\Helper\Table;
use Symfony\Component\Console\Output\ConsoleOutput;
use Symfony\Component\Console\Output\OutputInterface;
use Silex\Application;

/**

Glavin001

exercise-pose-analyzer    | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
exercise-pose-analyzer    | Instructions for updating:
exercise-pose-analyzer    | Pass is_training directly to the network instead of the arg_scope.
exercise-pose-analyzer    | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
exercise-pose-analyzer    | Instructions for updating:
exercise-pose-analyzer    | Pass is_training directly to the network instead of the arg_scope.
exercise-pose-analyzer    | 2018-10-20 14:44:19.454505: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
exerc

Glavin001

exercise-pose-analyzer    | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
exercise-pose-analyzer    | Instructions for updating:
exercise-pose-analyzer    | Pass is_training directly to the network instead of the arg_scope.
exercise-pose-analyzer    | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
exercise-pose-analyzer    | Instructions for updating:
exercise-pose-analyzer    | Pass is_training directly to the network instead of the arg_scope.
exercise-pose-analyzer    | 2018-10-20 14:44:19.454505: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
exerc

Glavin001

<!--DOCUSAURUS_CODE_TABS-->
<!--JavaScript-->
```js
console.log('Hello, world!');
```
<!--Python-->
```py
print('Hello, world!')
```