ihsansatriawan

Unblock Vimeo, Netflix, Reddit, dan Imgur

Linux / BSD / macOS

Tambahkan list di bawah ke /etc/hosts.

Windows

Tambahkan list di bawah ke %System32%\Drivers\etc\hosts

ihsansatriawan

let anagram = (s1, s2) =>
  s1.split('').sort().join('') === s2.split('').sort().join('')
  

ihsansatriawan

FWIW: I didn't produce the content presented here (the outline from Edmond Lau's book). I've just copy-pasted it from somewhere over the Internet, but I cannot remember what exactly the original source is. I was also not able to find the author's name, so I cannot give him/her the proper credits.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

ihsansatriawan

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

ihsansatriawan

# 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

ihsansatriawan

#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

ihsansatriawan

look process:
`lsof -i :<PORT NUMBER>
kill process
`kill -9 <PID>`

ihsansatriawan

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

ihsansatriawan

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):
        """

ihsansatriawan

import math
import random
import csv
import cProfile
import numpy as np
import hashlib

memoization = {}