git clone https://github.com/BretFisher/udemy-docker-mastery.git
curl -sSL https://get.docker.com/ | sh
<div class="pulse red live"></div> | |
<h3 class="live">LIVE!</h3> |
git clone https://github.com/BretFisher/udemy-docker-mastery.git
curl -sSL https://get.docker.com/ | sh
psql
- start postgres terminal (logs into default database)psql <dbname>
- start postgres terminal in specific database\l
- list all databases\q
- exit the terminal\d
- list all tables in selected database;
character--
for commentsconst express = require('express'); | |
const exphbs = require('express-handlebars') | |
const app = express(); | |
// Handlebars Middleware | |
app.engine('handlebars', exphbs({defaultLayout: 'main'})); | |
app.set('view engine', 'handlebars'); | |
function homePage(req, res) { |
{ | |
"name": "requesttest", | |
"version": "1.0.0", | |
"description": "Testing out requests", | |
"main": "app.js", | |
"scripts": { | |
"test": "echo \"Error: no test specified\" && exit 1", | |
"dev:server": "nodemon --ignore sessions/ server.js" | |
}, | |
"author": "fuzzylimes", |
To create a dataframe from a csv, you can use the following:
df = pd.read_csv('pandas_dataframe_importing_csv/example.csv')
If you have a different delimiter than a comma, you can use the sep
parameter:
df = pd.read_csv('pandas_dataframe_importing_csv/example.csv', sep="\|", engine="python")
Inspired by John Long's uao script.