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Notes from the Docker Course

Repo is available here:

git clone https://github.com/BretFisher/udemy-docker-mastery.git

Installing Docker the right way on linux

curl -sSL https://get.docker.com/ | sh

Baisc commands

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Basic (baisc) postgres items

• 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
• Make sure to end all commands with a ; character
• You don't have to type commands in CAPSLOCK, lower case is fine
• You cannot delete a database that you are currently viewing (\c out of it first)
• Can use -- for comments

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Javascript Notes

Basics

Notes

• No issue using either single ' or double " quotes, it's all preference/styling

Loging to console

console.log('hello world!');

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const 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) {

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{
  "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",

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Basic stuff

• git init will create an empty git repo
• Git does not store multiple versions of the code
• Initial commit will create the master branch

git log

• Shows the git commit history
• HEAD will follow the latest commit

Checkout to specific commit

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Things that I need to be able to do

Import from csv into memory

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")

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Remove all type unidentified from array

arr = arr.filter(function(n){ return n != undefined }); 

Fully clear a terminal

process.stdout.write('\033c');

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Inspired by John Long's uao script.