84adam 84adam

no root ssh

Create a new non-root user, follow the prompts: # adduser <new-username>
Give sudo permissions to the new user: # usermod -aG sudo <new-username>
Ensure that sudo is installed (which sudo ; if none, install it: apt install sudo)
Check groups for new user: # groups <new-username>
Edit sshd_config settings: # vim /etc/ssh/sshd_config
Under "Authentication", change PermitRootLogin from yes to no: "PermitRootLogin no"
(Optional) Change "MaxAuthTries" to a lower value to limit login attempts for any user: "MaxAuthTries 4"
Save the changes: :wq (save and exit vim)

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:

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

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

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

[neutrino]

	from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
	from pdfminer.converter import TextConverter
	from pdfminer.layout import LAParams
	from pdfminer.pdfpage import PDFPage
	from io import StringIO
	import os

	def convert_pdf_to_txt(path, pages=None):
	if not pages:
	pagenums = set()

	import requests
	from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
	from pdfminer.converter import TextConverter
	from pdfminer.layout import LAParams
	from pdfminer.pdfpage import PDFPage
	from io import StringIO, BytesIO

	def convert_pdf_to_txt(url, pages=None):
	if not pages:
	pagenums = set()

	# convert_xyz_pub.py
	# requirements: python3; base58 (`pip install base58`)

	import base58

	def convert_xyz_pub(in_key, out_key_type):
	"""
	Based on: https://gist.github.com/freenancial/d82fec076c13158fd34d1c4300b2b300
	"""
	xpub = b'\x04\x88\xb2\x1e' # mainnet P2PKH or P2SH

	<?xml version="1.0" encoding="UTF-8"?>
	<opml version="1.1">
	<head>
	<title>
	Feeder
	</title>
	</head>
	<body>
	<outline title="Stacker+News" text="Stacker+News" type="rss" xmlUrl="https://stacker.news/rss"/>
	<outline title="𝐁𝐂𝟏𝟗𝟖𝟒" text="𝐁𝐂𝟏𝟗𝟖𝟒" type="rss" xmlUrl="https://bc1984.com/rss/"/>

	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

	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)