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Readline

GNU readline is a commonly used library for line-editing; it is used for example by Bash, FTP, and many more (see the details of [readline][5] package under "Required By" for more examples). readline is also customizable (see man page for details).

Keyboard Shortcut Description

Ctrl+l Clear the screen

Cursor Movement

How to install CUDA & cuDNN on Ubuntu 22.04

Install NVIDIA drivers

Update & upgrade

sudo apt update && sudo apt upgrade

Remove previous NVIDIA installation

Ruby on Rails Cheatsheet

Architecture

Create a new application

Install the Rails gem if you haven't done so before

Copied from http://code.lancepollard.com/complete-list-of-html-meta-tags/

Basic HTML Meta Tags

<meta charset='UTF-8'>
<meta name='keywords' content='your, tags'>
<meta name='description' content='150 words'>
<meta name='subject' content='your website's subject'>
<meta name='copyright' content='company name'>

Option 1: Command-line download extension as zip and extract

extension_id=jifpbeccnghkjeaalbbjmodiffmgedin   # change this ID
curl -L -o "$extension_id.zip" "https://clients2.google.com/service/update2/crx?response=redirect&os=mac&arch=x86-64&nacl_arch=x86-64&prod=chromecrx&prodchannel=stable&prodversion=44.0.2403.130&x=id%3D$extension_id%26uc" 
unzip -d "$extension_id-source" "$extension_id.zip"

Thx to crxviewer for the magic download URL.


	Questions are not from any actual exam!!!



	Q: Create a job that calculates pi to 2000 decimal points using the container with the image named perl
	and the following commands issued to the container: ["perl", "-Mbignum=bpi", "-wle", "print bpi(2000)"]
	Once the job has completed, check the logs to and export the result to pi-result.txt.

	Solution:

	#!/bin/bash -x
	# make_arm64_rpi_kernel_debs.sh
	# Builds arm64 debian packages from the CURRENT rpi firmware repository kernel which is installed by:
	# sudo rpi-update
	# This runs on an arm64 host with arm64 compilation tools...
	# or with some sort of cross-compilation setup.
	# Debs are put in $workdir/build
	#
	# This will NOT work in Raspbian unless you have an arm64 compilation
	# environment setup. Appears to work on

	"""
	This is a pure Python3 implementation of the K-means Clustering algorithm.
	It is based on a GitHub Gist which uses Python2:
	https://gist.github.com/iandanforth/5862470
	I have refactored the code and to assure the code obeys Python Enhancement Proposals (PEPs) rules.
	After reading through this code you should understand clearly how K-means works.
	This script specifically avoids using numpy or other more obscure libraries.
	It is meant to be clear not fast.
	I have also added integration with the plot.ly plotting library.
	So you can see the clusters found by this algorithm. To install plotly run: