LinArcX

Gnome Desktop Entry Format extensions - bootlegged documentation

Note: if you work on desktop entry files, you should refresh them to see the results: Alt-F2 and run 'r' or 'restart' to restart gnome-shell. Otherwise changes might only work after you log out.

The desktop entry specification creates a standard for application launchers. Gnome adds several extensions to the format which are widely in use, but as far as I can tell undocumented. This is an attempt to document them so I can write my own autostart launchers for gnome. Pull requests are highly welcome.

There is a guide on gnome developer that explains basics about how to integrate an application with the desktop.

Autostart applications run when the user logs into the graphical desktop environment. All desktop managers make custom extensions to the format. This attempts just to cover the Gnome extensions, and won'

Custom Arch Linux live USB

Setup

Install the dependencies for the archiso package:

(root): pacman -S make squashfs-tools libisoburn dosfstools patch lynx devtools git

I recommend archiso getting them from git, there is a package in the repositories, however, at this time of writing, it will not work with the instructions below. So, grab the most recent version from git and install it:

(user): git clone git://projects.archlinux.org/archiso.git && cd archiso

Things to remember when compiling/linking C/C++ software

by Angel Leon. March 17, 2015;

Last update on December 14, 2023

Updated on February 27, 2023

Updated August 29, 2019.

This gist will show the support of BiDirectional text in the terminal emulators and console programs. You can read more about the standardization efforts at the dedicated page of FreeDesktop Terminal BiDi working group.

How to test

Logical Order	◀ ◀ ◀ RTL	LTR ▶ ▶ ▶
WHAT IS UNICODE؟ in arabic	in arabic ؟EDOCINU SI TAHW	؟EDOCINU SI TAHW in arabic
	ما هو الترميز الموحد يونيكود؟ in Arabic	ما هو الترميز الموحد يونيكود؟ in Arabic

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

	# Maintainer: Dennis E. Mungai <[email protected]>
	pkgname=nvidia-prime
	pkgver=0.7
	pkgrel=1
	pkgdesc="Tools to enable NVIDIA's Prime."
	url="https://launchpad.net/ubuntu/+source/nvidia-prime"
	arch=('x86_64' 'i686')
	license=('GPLv3')
	depends=('lightdm' 'bbswitch' 'python' 'bash')
	optdepends=('nvidia' 'lightdm-gtk3-greeter')

	# Assume we are in your home directory
	cd ~/

	# Clone the repo from GitLab using the `--mirror` option
	$ git clone --mirror [email protected]:mario/my-repo.git

	# Change into newly created repo directory
	$ cd ~/my-repo.git

	# Push to GitHub using the `--mirror` option. The `--no-verify` option skips any hooks.

	# fshow - git commit browser (enter for show, ctrl-d for diff, ` toggles sort)
	fshow() {
	local out shas sha q k
	while out=$(
	git log --graph --color=always \
	--format="%C(auto)%h%d %s %C(black)%C(bold)%cr" "$@" \|
	fzf --ansi --multi --no-sort --reverse --query="$q" \
	--print-query --expect=ctrl-d --toggle-sort=\`); do
	q=$(head -1 <<< "$out")
	k=$(head -2 <<< "$out" \| tail -1)



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	*http://kickass.to/10gen-m101js-mongodb-for-node-js-developers-2013-eng-t8165205.html
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