- The first line of every file should be
'use strict';
. If the file contains a shebang, strict mode should be enabled on the second line. - The strict mode directive should be followed by a blank line.
let horse = {age : 10}
function horseAge(str, age){
const ageStr = age > 5 ? 'old' : 'young';
return `${str[0]} ${ageStr} at ${age} years`;
}
horseAge`This hourse is ${horse.age}`
" ============================================================================== | |
" Author: Alan Dong | |
" Version: 0.3.5 | |
" Last Modified Date: 8/17/2018 | |
" Description: My Vim Configuration file | |
" ============================================================================== | |
" set shell for bash as default | |
set shell=/bin/bash |
# Path to your oh-my-zsh installation. | |
export ZSH=~/.oh-my-zsh | |
# Set name of the theme to load. | |
# Look in ~/.oh-my-zsh/themes/ | |
# Optionally, if you set this to "random", it'll load a random theme each | |
# time that oh-my-zsh is loaded. | |
ZSH_THEME="robbyrussell" | |
# Uncomment the following line to use case-sensitive completion. |
""" Calculate the subnet mask, its binary representation, number of host and | |
network bits, and the total number of hosts for a given CIDR address. | |
Usage: python cidr.py [cidr] | |
Notes: Pipe the command to jq to pretty print the JSON. Python 2 or 3 compatible. | |
Examples: | |
python cidr.py 10.0.0.0/24 | |
python cidr.py 172.0.0.0/16 | jq | |
""" | |
from __future__ import print_function |
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
OP: @leonardofed founder @ plainflow.
Apple | |
Boy | |
Cat | |
Dog | |
Egg Elephant | |
Friend Fish | |
Girl | |
Hi Hat | |
India Ice Cream | |
Judy |
$ node index.js
status quo x 183,314 ops/sec ±7.01% (81 runs sampled)
comma fix x 88,004 ops/sec ±5.18% (81 runs sampled)
alternate fix x 88,608 ops/sec ±4.89% (84 runs sampled)
regex match fix x 36,670 ops/sec ±5.04% (83 runs sampled)
iteration fix x 175,519 ops/sec ±5.20% (84 runs sampled)
nested x 88,474 ops/sec ±3.91% (82 runs sampled)
http://campus.codeschool.com/courses/the-sequel-to-sql
https://github.com/codeschool/WatchUsBuild-MovieListingsAppWithSQL
# Common Aggregate Functions
SELECT count(columName)
FROM tableName;
SELECT sum(columName)