Ihsan Satriawan ihsansatriawan

## date.sql
/* Adapted from Tom Cunningham's 'Data Warehousing with MySql' (www.meansandends.com/mysql-data-warehouse) */

###### small-numbers table
DROP TABLE IF EXISTS numbers_small;
CREATE TABLE numbers_small (number INT);
INSERT INTO numbers_small VALUES (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);

###### main numbers table
DROP TABLE IF EXISTS numbers;
CREATE TABLE numbers (number BIGINT);

## rspec_model_testing_template.rb
# This is a skeleton for testing models including examples of validations, callbacks,
# scopes, instance & class methods, associations, and more.
# Pick and choose what you want, as all models don't NEED to be tested at this depth.
#
# I'm always eager to hear new tips & suggestions as I'm still new to testing,
# so if you have any, please share!
#
# @kyletcarlson
#
# This skeleton also assumes you're using the following gems:

## book_reco.py
# Importing the libraries
from scipy.stats.stats import pearsonr
import pandas as pd
import numpy as np
import json

data = pd.read_csv("../../Downloads/data_books.csv", sep = ",", header=None,
                         names=['Reviewer', 'Book', 'Rating'])

# Picking 2 books

## DistanceMetrics.py
import math
import random
import csv
import cProfile
import numpy as np
import hashlib

memoization = {}


## ClusteringObjectiveFunctions.py
class ClusteringQuality:
    """
    Instances of this class implement the two measures of clustering quality discussed in the article, namely the davies
    bouldin index and the silhouette index. It also implements a number of useful helper methods.
    :param solution: the clustering solution of type Clustering
    :param minimum: the minimum distance allowable
    """

    def __init__(self, solution, minimum):
        """

## tmux-cheatsheet.markdown

      
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                ihsansatriawan
                / tmux-cheatsheet.markdown
            
            
              Created
              February 1, 2017 02:43
                — forked from MohamedAlaa/tmux-cheatsheet.markdown
            
              
                tmux shortcuts & cheatsheet
              
          
    tmux shortcuts & cheatsheet

start new:
tmux

start new with session name:
tmux new -s myname


## gist:7b94b669cde3cf3431e56a17c2dd5942
look process:
`lsof -i :<PORT NUMBER>
kill process
`kill -9 <PID>`

## gist:cb7182fb912cdb76f634fb1dece43e21
#add 'node_modules' to .gitignore file

git rm -r --cached node_modules
git commit -m 'Remove the now ignored directory node_modules'
git push origin master

## Zsh & theme
# Railscast
http://railscasts.com/episodes/308-oh-my-zsh

# Install Zsh
sudo apt-get update && sudo apt-get install zsh

# Install Oh-my-zsh
wget –no-check-certificate https://github.com/robbyrussell/oh-my-zsh/raw/master/tools/install.sh -O – | sh

# Make ZSH default shell

## gist:fad6960505a94a8620bac620ee26dae3
git filter-branch -f --env-filter 'if [[ "$GIT_COMMIT" = "119900cd7054c64f2b8e4774e59afbfc39a28e73" ]]; then export GIT_COMMITTER_NAME="Lee Treveil" GIT_AUTHOR_NAME="Lee Treveil" GIT_COMMITTER_EMAIL="leetreveil@gmail.com" GIT_AUTHOR_EMAIL="leetreveil@gmail.com"; fi' HEAD
	/* Adapted from Tom Cunningham's 'Data Warehousing with MySql' (www.meansandends.com/mysql-data-warehouse) */

	###### small-numbers table
	DROP TABLE IF EXISTS numbers_small;
	CREATE TABLE numbers_small (number INT);
	INSERT INTO numbers_small VALUES (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);

	###### main numbers table
	DROP TABLE IF EXISTS numbers;
	CREATE TABLE numbers (number BIGINT);
	# This is a skeleton for testing models including examples of validations, callbacks,
	# scopes, instance & class methods, associations, and more.
	# Pick and choose what you want, as all models don't NEED to be tested at this depth.
	#
	# I'm always eager to hear new tips & suggestions as I'm still new to testing,
	# so if you have any, please share!
	#
	# @kyletcarlson
	#
	# This skeleton also assumes you're using the following gems:
	# Importing the libraries
	from scipy.stats.stats import pearsonr
	import pandas as pd
	import numpy as np
	import json

	data = pd.read_csv("../../Downloads/data_books.csv", sep = ",", header=None,
	names=['Reviewer', 'Book', 'Rating'])

	# Picking 2 books
	import math
	import random
	import csv
	import cProfile
	import numpy as np
	import hashlib

	memoization = {}
	class ClusteringQuality:
	"""
	Instances of this class implement the two measures of clustering quality discussed in the article, namely the davies
	bouldin index and the silhouette index. It also implements a number of useful helper methods.
	:param solution: the clustering solution of type Clustering
	:param minimum: the minimum distance allowable
	"""

	def __init__(self, solution, minimum):
	"""
	look process:
	`lsof -i :<PORT NUMBER>
	kill process
	`kill -9 <PID>`
	#add 'node_modules' to .gitignore file

	git rm -r --cached node_modules
	git commit -m 'Remove the now ignored directory node_modules'
	git push origin master
	# Railscast
	http://railscasts.com/episodes/308-oh-my-zsh

	# Install Zsh
	sudo apt-get update && sudo apt-get install zsh

	# Install Oh-my-zsh
	wget –no-check-certificate https://github.com/robbyrussell/oh-my-zsh/raw/master/tools/install.sh -O – \| sh

	# Make ZSH default shell