84adam 84adam

[Application Options]
feeurl=https://nodes.lightning.computer/fees/v1/btc-fee-estimates.json

[Bitcoin]
bitcoin.active=1
bitcoin.mainnet=1
bitcoin.node=neutrino

[neutrino]

Create a program in python

Example: x.py prints out increasingly large random numbers, once per second:

import math
from random import randint
from time import sleep

t = 0

Keybase proof

I hereby claim:

I am 84adam on github.
I am bc1984adam (https://keybase.io/bc1984adam) on keybase.
I have a public key ASDrUT8jKjB08T4GWNscufRGcL8f3n_OwmDxfHfcK8LLRgo

To claim this, I am signing this object:

	[Unit]
	Description=I2P Router written in C++
	Documentation=man:i2pd(1) https://i2pd.readthedocs.io/en/latest/
	After=network.target
	ConditionFileIsExecutable=/usr/sbin/i2pd

	[Service]
	User=i2pd
	Group=i2pd
	RuntimeDirectory=i2pd

	# bitcoin-inflation.py
	# based on: https://github.com/ndsvw/Bitcoin-Supply-Calculator/blob/master/btcsupply.py

	def btc_supply_at_block(b):
	max_supply = 20999999.9769
	if b >= 33 * 210000:
	return max_supply, 1.0
	else:
	reward = 50e8
	supply = 0

	### Python Clean Code Tips & Tools

	Check the quality of your code inside your CI pipeline.

	- flake8 - style guide enforcer
	- black - code formatting
	- isort - optimize imports
	- bandit - check for security vulnerabilities
	- safety - check for security vulnerabilities of dependencies

	// a simple Go-based website
	// based on: https://www.digitalocean.com/community/tutorials/how-to-make-an-http-server-in-go
	// with 100 bytes of CSS from: https://gist.github.com/JoeyBurzynski/617fb6201335779f8424ad9528b72c41

	package main

	import (
	"errors"
	"fmt"
	"io"

	#!/bin/bash
	MOUNTPOINT="/mnt/ext"
	DISK="/dev/sda1"

	echo ""
	echo "-------------------------------------------------------------------------------- DISK SPACE USED/REMAINING"
	df -m \| head -n 1 ; df -m \| grep "$DISK"
	df -H \| head -n 1 ; df -H \| grep "$DISK"
	echo "-------------------------------------------------------------------------------- DISK I/O"
	echo ""

	import pandas as pd

	# MAKE UP SOME DATA
	data = {'id': [1, 2, 3, 4, 5],
	'First Name': ['Mary', 'Harry', 'Larry', 'Fairy', 'Dairy',],
	'Birth Year': [1930,1940,1950,1960,1970],
	'Favorite Color': ['Blue', 'Red', 'Green', 'Pink', 'Orange']}

	# CREATE A DATAFRAME
	df = pd.DataFrame.from_dict(data)

	import requests
	import io
	import pandas as pd

	# SEE: https://fred.stlouisfed.org/series/T5YIFR/#0

	url = """https://fred.stlouisfed.org/graph/fredgraph.csv?bgcolor=%23e1e9f0&chart_type=line&drp=0&fo=open%20sans&graph_bgcolor=%23ffffff&height=450&mode=fred&recession_bars=on&txtcolor=%23444444&ts=12&tts=12&width=1168&nt=0&thu=0&trc=0&show_legend=yes&show_axis_titles=yes&show_tooltip=yes&id=T5YIFR&scale=left&cosd=2003-01-02&line_color=%234572a7&link_values=false&line_style=solid&mark_type=none&mw=3&lw=2&ost=-99999&oet=99999&mma=0&fml=a&fq=Daily&fam=avg&fgst=lin&fgsnd=2020-02-01&line_index=1&transformation=lin&nd=2003-01-02
	"""

	s = requests.get(url).content