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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.

Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。Docker 官方和国内很多云服务商都提供了国内加速器服务。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

配置加速地址

Ubuntu 16.04+、Debian 8+、CentOS 7+

Backslash Escapes

https://daringfireball.net/projects/markdown/syntax#precode

syntax

\*literal asterisks\*

output

*literal asterisks*

	#!/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:

	using System;
	using System.Collections;
	using System.Collections.Generic;

	/// <summary>
	/// Extends the Array with the Flatten method
	/// </summary>
	public static class Flattener {
	/// <summary>
	/// Given a N-dimensional array, flattens it into a new one-dimensional array without modifying the elements' order