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Setting up Jellyfin and Chromecast using Docker, Nginx, and dnsmasq

1/03/2023

Hyperlinks (a.k.a. HTML-like anchors) in terminal emulators

[ Update 2020-05-31: I won't be maintaining this page or responding to comments anymore (except for perhaps a few exceptional occasions). ]

Most of the terminal emulators auto-detect when a URL appears onscreen and allow to conveniently open them (e.g. via Ctrl+click or Cmd+click, or the right click menu).

It was, however, not possible until now for arbitrary text to point to URLs, just as on webpages.

hey, this is my first gist

	#!/usr/bin/env bash

	# Must set variables:
	# REPO_DIR
	# AUTHOR_PATTERN
	# REPO_PATTERN
	source ./config.sh

	cd "$REPO_DIR" \|\| exit

	# to remove the file on git without deleting from local
	# use -> git rm --cached
	find . -name .ipynb_checkpoints -print0 \| xargs -0 git rm -r --ignore-unmatch
	echo .ipynb_checkpoints >> .gitignore

	#!/bin/bash

	version=1.0.1
	versionDate="2014-02-14"

	function showHelp() {
	echo "watchfile - monitor file(s)/command and perform action when changed

	Possible ways of usage
	----------------------------------------

	# This hosts file is brought to you by Dan Pollock and can be found at
	# http://someonewhocares.org/hosts/
	# You are free to copy and distribute this file for non-commercial uses,
	# as long the original URL and attribution is included.

	#<localhost>
	127.0.0.1 localhost
	127.0.0.1 localhost.localdomain
	255.255.255.255 broadcasthost
	::1 localhost

	name: Security audit
	on:
	schedule:
	- cron: '0 0 * * *'
	push:
	paths:
	- '**/Cargo.toml'
	- '**/Cargo.lock'
	jobs:
	security_audit:

	"""
	Websockets client for micropython

	Based very heavily on
	https://github.com/aaugustin/websockets/blob/master/websockets/client.py
	"""

	import ubinascii as binascii
	import urandom as random
	import ure as re

	# https://www.quantopian.com/posts/technical-analysis-indicators-without-talib-code

	import numpy
	import pandas as pd
	import math as m

	#Moving Average
	def MA(df, n):
	MA = pd.Series(pd.rolling_mean(df['Close'], n), name = 'MA_' + str(n))
	df = df.join(MA)