wangruohui

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

btfak

How to use Hexo and deploy to GitHub Pages

• https://github.com/hexojs/hexo
• https://hexo.io/docs/

1. Install Hexo

$ sudo npm install -g hexo-cli

$ hexo -v
hexo-cli: 0.1.9

ageitgey

Build tensorflow on OSX with NVIDIA CUDA support (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer

ololobus

Apache Spark installation + ipython/jupyter notebook integration guide for macOS

Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112

For older versions of Spark and ipython, please, see also previous version of text.

Install Java Development Kit

kevin-smets

Default

Powerlevel10k

stephenhardy

-- Remove the history from 
rm -rf .git

-- recreate the repos from the current content only
git init
git add .
git commit -m "Initial commit"

-- push to the github remote repos ensuring you overwrite history
git remote add origin git@github.com:<YOUR ACCOUNT>/<YOUR REPOS>.git

ckunte

#!/usr/bin/env sh
echo "Stuff I do after a fresh xubuntu install:"
echo ""
echo "Installing f.lux"
sudo add-apt-repository ppa:kilian/f.lux
sudo apt-get update
echo "Installing all my favorite applications"
sudo apt-get -y install fluxgui python-pip git-core gitg gedit gedit-plugins gparted bleachbit gnome-do lightread chromium-browser zsh
echo "Removing unwanted applications"
sudo apt-get -y remove firefox 

stevenworthington

# ipak function: install and load multiple R packages.
# check to see if packages are installed. Install them if they are not, then load them into the R session.

ipak <- function(pkg){
    new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
    if (length(new.pkg)) 
        install.packages(new.pkg, dependencies = TRUE)
    sapply(pkg, require, character.only = TRUE)
}