kebman kebman

## nordics_lightning_alert.py
#!/usr/bin/python3
from sseclient import SSEClient
import json
from math import sqrt
import winsound # NOTE: Windows only
from datetime import datetime, timezone, timedelta

'''
Version 2.1 (2023-07-07): A small script that alerts the user of lightning if it strikes within 16 km (10 miles) of your home position in the Nordics.
Based on lightning observations broadcast as SSE from The Norwegian Meteorological Institute, https://www.met.no/.

## lyn_met_no_SSE_client.py
#!/usr/bin/python3
from sseclient import SSEClient
import json

# get the stream
thundercloud = SSEClient('https://lyn.met.no/events')

# keep checking for new lighning strikes
for lightning in thundercloud:

## orderFormatter.html
<!DOCTYPE html>
<html class="no-js" lang="eng">
<head>
	<meta charset="utf-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
	<title></title>
	<meta name="description" content="Order Formatting App">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<!-- <link rel="stylesheet" href="css/main.css"> -->
	<style type="text/css">

## tarkovModules.cypher
CREATE (h:Module {
name: "Air Filtering Unit I",
requirements: [
'$10,000',
'Generator III',
'Vents III',
'Skier III'
],
functions: [
"Group of skills levelling boost: Physical, +40%"

## COVID-19_data_from_Norway.json
"source":"https://www.vg.no/spesial/2020/corona/",
"events":[
{"2020-03-13":"Change of test criteria"},
{"2020-03-26":"NIPH (FHI) uses MSIS data"},
{"2020-04-20":"Partial reopening of kindergartens and hair dressers"}
],
"majorReCheckOfDataset":["2020-04-03"],
"lastUpdated":["2020-04-03", "2020-04-08", "2020-04-17", "2020-04-21"],
"coronaTestDataForNorway": [
	{

## UnicodeMath.sublime-settings
{
    "symbols": {
        "emdash": "\u2014", // —
        "endash": "\u2013", // –
        "laquo": "\u00AB", // «
        "raquo": "\u00BB", // »
        "ldquo": "\u201C", // “
        "rdquo":"\u201D", // ”
        "lsquo": "\u2018", // ‘
        "rsquo": "\u2019", // ’

## compounding1.py
#!/usr/local/bin/python3.7

principal = 10000.0
interest_rate = 5.0
time_units = 10

def get_percentage(inputf, percentage):
	return inputf * percentage / 100.0

def get_compounding(principalf, n):

## RastaniRibbon.pine
// See: Here's Exactly WHEN I am Buying Bitcoin. Alessio Rastani. Published on 8 Jun 2019. https://youtu.be/TiUUJxdynaY
study(title = "Rastani Ribbon", shorttitle="Rastani Ribbon", overlay=true)

src0 = close, len1 = input(21, minval=1, title="MA Length")
src1 = close, len2 = input(55, minval=1, title="MA Length")
src2 = close, len3 = input(100, minval=1, title="EMA Length")
src3 = close, len4 = input(100, minval=1, title="MA Length")
src4 = close, len0 = input(200, minval=1, title="MA Length")

sma1 = sma(src1, len1)

## USDNOKslider.html
<!DOCTYPE html>
<html>
<head>
<title>USD/NOK Slider</title>
<meta charset="utf-8">
<style type="text/css">
.slidecontainer {
	width: 20em; /* Width of the outside container */
}
/* Slider */

## EURUSDslider.html
<!DOCTYPE html>
<html>
<head>
<title>EUR/USD Slider</title>
<meta charset="utf-8">
<style type="text/css">
.slidecontainer {
	width: 20em; /* Width of the outside container */
}
/* Slider */
	#!/usr/bin/python3
	from sseclient import SSEClient
	import json
	from math import sqrt
	import winsound # NOTE: Windows only
	from datetime import datetime, timezone, timedelta

	'''
	Version 2.1 (2023-07-07): A small script that alerts the user of lightning if it strikes within 16 km (10 miles) of your home position in the Nordics.
	Based on lightning observations broadcast as SSE from The Norwegian Meteorological Institute, https://www.met.no/.
	<!DOCTYPE html>
	<html class="no-js" lang="eng">
	<head>
	<meta charset="utf-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
	<title></title>
	<meta name="description" content="Order Formatting App">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<!-- <link rel="stylesheet" href="css/main.css"> -->
	<style type="text/css">
	CREATE (h:Module {
	name: "Air Filtering Unit I",
	requirements: [
	'$10,000',
	'Generator III',
	'Vents III',
	'Skier III'
	],
	functions: [
	"Group of skills levelling boost: Physical, +40%"
	"source":"https://www.vg.no/spesial/2020/corona/",
	"events":[
	{"2020-03-13":"Change of test criteria"},
	{"2020-03-26":"NIPH (FHI) uses MSIS data"},
	{"2020-04-20":"Partial reopening of kindergartens and hair dressers"}
	],
	"majorReCheckOfDataset":["2020-04-03"],
	"lastUpdated":["2020-04-03", "2020-04-08", "2020-04-17", "2020-04-21"],
	"coronaTestDataForNorway": [
	{
	{
	"symbols": {
	"emdash": "\u2014", // —
	"endash": "\u2013", // –
	"laquo": "\u00AB", // «
	"raquo": "\u00BB", // »
	"ldquo": "\u201C", // “
	"rdquo":"\u201D", // ”
	"lsquo": "\u2018", // ‘
	"rsquo": "\u2019", // ’
	#!/usr/local/bin/python3.7

	principal = 10000.0
	interest_rate = 5.0
	time_units = 10

	def get_percentage(inputf, percentage):
	return inputf * percentage / 100.0

	def get_compounding(principalf, n):
	// See: Here's Exactly WHEN I am Buying Bitcoin. Alessio Rastani. Published on 8 Jun 2019. https://youtu.be/TiUUJxdynaY
	study(title = "Rastani Ribbon", shorttitle="Rastani Ribbon", overlay=true)

	src0 = close, len1 = input(21, minval=1, title="MA Length")
	src1 = close, len2 = input(55, minval=1, title="MA Length")
	src2 = close, len3 = input(100, minval=1, title="EMA Length")
	src3 = close, len4 = input(100, minval=1, title="MA Length")
	src4 = close, len0 = input(200, minval=1, title="MA Length")

	sma1 = sma(src1, len1)
	<!DOCTYPE html>
	<html>
	<head>
	<title>USD/NOK Slider</title>
	<meta charset="utf-8">
	<style type="text/css">
	.slidecontainer {
	width: 20em; /* Width of the outside container */
	}
	/* Slider */