Ram Kumar K R ramkumar-kr

require-from-twitter

Since Twitter doesn't have an edit button, it's a suitable host for JavaScript modules.

How to use

Source tweet: https://twitter.com/rauchg/status/712799807073419264

const leftPad = await requireFromTwitter('712799807073419264');

Mac OS X 10.10 Yosemite

Custom recipe to get OS X 10.10 Yosemite running from scratch, setup applications and developer environment. I use this gist to keep track of the important software and steps required to have a functioning system after a semi-annual fresh install. On average, I reinstall each computer from scratch every 6 months, and I do not perform upgrades between distros.

This keeps the system performing at top speeds, clean of trojans, spyware, and ensures that I maintain good organizational practices for my content and backups. I highly recommend this.

You are encouraged to fork this and modify it to your heart's content to match your own needs.

Install Software

codegolf JS

Mini projects by Maxime Euzière (xem), subzey, Martin Kleppe (aemkei), Mathieu Henri (p01), Litterallylara, Tommy Hodgins (innovati), Veu(beke), Anders Kaare, Keith Clark, Addy Osmani, bburky, rlauck, cmoreau, maettig, thiemowmde, ilesinge, adlq, solinca, xen_the,...

(For more info and other projects, visit http://xem.github.io)

(Official Slack room: http://jsgolf.club / join us on http://register.jsgolf.club)

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

	#!/usr/bin/env xcrun swift -O

	/*
	gen.swift is a direct port of cfdrake's helloevolve.py from Python 2.7 to Swift 3
	-------------------- https://gist.github.com/cfdrake/973505 ---------------------
	gen.swift implements a genetic algorithm that starts with a base
	population of randomly generated strings, iterates over a certain number of
	generations while implementing 'natural selection', and prints out the most fit
	string.
	The parameters of the simulation can be changed by modifying one of the many

	import React from "react";
	import { render } from "react-dom";

	const ParentComponent = React.createClass({
	getDefaultProps: function() {
	console.log("ParentComponent - getDefaultProps");
	},
	getInitialState: function() {
	console.log("ParentComponent - getInitialState");
	return { text: "" };

	function assignEditUrls() {
	var form = FormApp.openById('yourFormKey');
	//enter form ID here

	var sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName('yourWorksheetName');

	//Change the sheet name as appropriate
	var data = sheet.getDataRange().getValues();
	var urlCol = ; // column number where URL's should be populated; A = 1, B = 2 etc
	var responses = form.getResponses();

	/*
	* Note: This template uses some c++11 functions , so you have to compile it with c++11 flag.
	* Example:- $ g++ -std=c++11 c++Template.cpp
	*
	* Author : Akshay Pratap Singh
	* Handle: code_crack_01
	*
	*/

	/****** All Required Header Files ******/


	# 1) Create your private key (any password will do, we remove it below)

	$ cd ~/.ssh
	$ openssl genrsa -des3 -out server.orig.key 2048


	# 2) Remove the password

	$ openssl rsa -in server.orig.key -out server.key