Yann yfe404

https://www.youtube.com/watch?v=QlzoegSuIzg

The Three Parts

To build a minimal linux distro, we need three parts:

The Kernel
Userspace (busybox)
Bootloader (syslinux)

When the system boots, it loads the kernel, which loads busybox.

About

Summarizing the instructions of the pass tool (as seen on its website).

Getting Started

Installation

Execute: $ sudo apt install pass

Setting up DWM on a Raspberry Pi running Raspbian lite

Make sure git is intalled

sudo apt install git

Clone the repository from suckless:

Arch Linux Full-Disk Encryption Installation Guide

This guide provides instructions for an Arch Linux installation featuring full-disk encryption via LVM on LUKS and an encrypted boot partition (GRUB) for UEFI systems.

Following the main installation are further instructions to harden against Evil Maid attacks via UEFI Secure Boot custom key enrollment and self-signed kernel and bootloader.

Preface

You will find most of this information pulled from the Arch Wiki and other resources linked thereof.

Note: The system was installed on an NVMe SSD, substitute /dev/nvme0nX with /dev/sdX or your device as needed.

GPG - SSH setup

Generating the master key

Here we create the master key. We want only Certify capability: we use the master key only to create the subkeys, Sign - Encrypt - Authenticate capabilities will be assigned to the subkeys.

Run the following command to start the master key generation process. Select the set your own capabilities creation process (type 8)

  ▶ gpg --full-generate-key --expert

If you haven’t worked with JavaScript in the last few years, these three points should give you enough knowledge to feel comfortable reading the React documentation:

We define variables with let and const statements. For the purposes of the React documentation, you can consider them equivalent to var.
We use the class keyword to define JavaScript classes. There are two things worth remembering about them. Firstly, unlike with objects, you don't need to put commas between class method definitions. Secondly, unlike many other languages with classes, in JavaScript the value of this in a method [depends on how it is called](https://developer.mozilla.org/en-US/docs/Web/Jav

	# This code is written at BigVision LLC. It is based on the OpenCV project. It is subject to the license terms in the LICENSE file found in this distribution and at http://opencv.org/license.html

	# Usage example: python3 object_detection_yolo.py --video=run.mp4
	# python3 object_detection_yolo.py --image=bird.jpg
	import cv2 as cv
	import argparse
	import sys
	import numpy as np
	from urllib.request import urlopen
	import os

	# Luke's config for the Zoomer Shell

	# Enable colors and change prompt:
	autoload -U colors && colors
	PS1="%B%{$fg[red]%}[%{$fg[yellow]%}%n%{$fg[green]%}@%{$fg[blue]%}%M %{$fg[magenta]%}%~%{$fg[red]%}]%{$reset_color%}$%b "

	# History in cache directory:
	HISTSIZE=10000
	SAVEHIST=10000
	HISTFILE=~/.cache/zsh/history

	"""
	A minimal implementation of Monte Carlo tree search (MCTS) in Python 3
	Luke Harold Miles, July 2019, Public Domain Dedication
	See also https://en.wikipedia.org/wiki/Monte_Carlo_tree_search
	https://gist.github.com/qpwo/c538c6f73727e254fdc7fab81024f6e1
	"""
	from abc import ABC, abstractmethod
	from collections import defaultdict
	import math

	import numpy as np
	import matplotlib.pyplot as plt
	from matplotlib.patches import Ellipse
	import matplotlib.transforms as transforms

	def confidence_ellipse(x, y, ax, n_std=3.0, facecolor='none', **kwargs):
	"""
	Create a plot of the covariance confidence ellipse of `x` and `y`

	See how and why this works: https://carstenschelp.github.io/2018/09/14/Plot_Confidence_Ellipse_001.html