brew install mongodb
Set up launchctl to auto start mongod
$ ln -sfv /usr/local/opt/mongodb/*.plist ~/Library/LaunchAgents
/usr/local/opt/mongodb/
is a symlink to /usr/local/Cellar/mongodb/x.y.z
(e.g., 2.4.9
)
// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |
var AWS = require('aws-sdk'); | |
AWS.config.update({region: 'us-east-1'}); | |
var lexruntime = new AWS.LexRuntime(); | |
var params = { | |
botAlias: '$LATEST', /* required, has to be '$LATEST' */ | |
botName: 'BOT', /* required, the name of you bot */ | |
inputText: 'TEXT', /* required, your text */ | |
userId: 'USER', /* required, arbitrary identifier */ |
This is a Hashicorp Terraform module that provisions an AWS EC2 instance
for the purpose of running a given docker-compose.yml
file.
# ===== OUR MAGIC DOCKER-COMPOSE.YML FILE HERE =====
# It is also possible to get Terraform to read an external `docker-compose.yml`
# file and load it into this variable.
# We'll be showing off a demo nginx page.
This is a Hashicorp Terraform module that provisions an AWS EC2 instance
for the purpose of running a given docker-compose.yml
file.
# ===== OUR MAGIC DOCKER-COMPOSE.YML FILE HERE =====
# It is also possible to get Terraform to read an external `docker-compose.yml`
# file and load it into this variable.
# We'll be showing off a demo nginx page.
NDJSON is a convenient format for storing or streaming structured data that may be processed one record at a time.
cat test.json | jq -c '.[]' > testNDJSON.json
// just add pass server as your task function | |
// Start a server with LiveReload to preview the site in | |
const OUTPUT_PARENT = 'dist' | |
const OUTPUT_DIRECTORY = OUTPUT_PARENT + '/browser-sync' | |
function server(done) { | |
browser.init({ | |
server: { | |
directory: true, |
extension Array { | |
subscript(circular index: Int) -> Element? { | |
var i = index | |
if i < 0 || isEmpty { | |
return nil | |
} else if i > count - 1 { | |
i = index % count | |
} | |
return self[i] | |
} |
from algoliasearch import algoliasearch | |
import pymongo | |
from pymongo import MongoClient | |
import json | |
client = algoliasearch.Client("Your_Application_ID", 'Your_API_Key') | |
index = client.init_index('Experiment_1') | |
MONGODB_URL1 = 'Your_MongoDB_Connection_String' | |
def move_collection(from_collection): |