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.
$ sudo npm install -g hexo-cli
$ hexo -v
hexo-cli: 0.1.9
These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.
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.
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-- 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 |
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#!/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 |
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# 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) | |
} |