Anish anishpateluk

macOS, Zsh, and more

The .*shrc file

Create a Python project with default Venv in the same folder where Dockerfile and docker-compose.yml are located
Go to Settings -> Build, Execution, Deployment -> Docker and create a new Docker server. Use unix socket. "Successfully connected" should appear.
Configure Docker Compose as a remote Pycharm interpreter as per documentation.
Configure the Jupyter Server as per documentation, DO NOT use Managed Server option.
In the Project panel, right click on docker-compose.yml and run it.
Manually connect to Docker in the Services panel.
Run the Jupyter Notebook cells.

Wordpress & Docker

This file will setup Wordpress, MySQL & PHPMyAdmin with a single command. Add the code below to a file called "docker-compose.yaml" and run the command

$ docker-compose up -d

# To Tear Down
$ docker-compose down --volumes

A Highcharts example in use with Webpack and Babel.

Install

Download source files
Run npm install to install all dependencies.
Run npm run build to bundle app.js into bundle.js

Open application

Open index.html in a browser.

	// Open Chrome. Not tested on other browsers but should work ¯\_(ツ)_/¯.
	// Go to https://www.linkedin.com/my-items/saved-jobs/
	// Make sure Saved and not Applied is selected.
	// Open the Chrome Dev Tools by hitting F12 on your keyboard.
	// Go to Console tab.
	// Paste this script in the space bellow after the little > symbol.
	// Hit Enter.
	// The jobs will start to be deleted 1 by 1 after a 5 sec pause.
	// Leave the window open but you can do something else while it does it's thing.
	// If it gets tripped up just start over.

	View: Pods(<namespace>)[number of pods listed]

	NAME pod name
	READY number of pods in ready state / number of pods to be in ready state
	RESTARTS number of times the pod has been restarted so far
	STATUS state of the pod life cycle, such as Running \| ... \| Completed
	CPU current CPU usage, unit is milli-vCPU
	MEM current main memory usage, unit is MiB
	%CPU/R current CPU usage as a percentage of what has been requested by the pod
	%MEM/R current main memory usage as a percentage of what has been requested by the pod

	// Only export the things that are actually needed, cut out everything else

	export { WebGLRenderer } from 'three/src/renderers/WebGLRenderer.js'
	export { ShaderLib } from 'three/src/renderers/shaders/ShaderLib.js'
	export { UniformsLib } from 'three/src/renderers/shaders/UniformsLib.js'
	export { UniformsUtils } from 'three/src/renderers/shaders/UniformsUtils.js'
	export { ShaderChunk } from 'three/src/renderers/shaders/ShaderChunk.js'
	export { Scene } from 'three/src/scenes/Scene.js'
	export { Mesh } from 'three/src/objects/Mesh.js'
	export { LineSegments } from 'three/src/objects/LineSegments.js'

	/**
	* Making promises
	*/
	let okPromise = Js.Promise.make((~resolve, ~reject as _) => [@bs] resolve("ok"));

	/* Simpler promise creation for static values */
	Js.Promise.resolve("easy");

	Js.Promise.reject(Invalid_argument("too easy"));

	'use strict';

	const authentication = require('feathers-authentication');
	const jwt = require('feathers-authentication-jwt');
	const local = require('feathers-authentication-local');
	const oauth2 = require('feathers-authentication-oauth2');
	const GithubStrategy = require('passport-github');
	// Bring in the oauth-handler
	const makeHandler = require('./oauth-handler');

	# Pass the env-vars to MYCOMMAND
	eval $(egrep -v '^#' .env \| xargs) MYCOMMAND
	# … or ...
	# Export the vars in .env into your shell:
	export $(egrep -v '^#' .env \| xargs)