Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

taoyuan

# npm using https for git
git config --global url."https://github.com/".insteadOf git@github.com:
git config --global url."https://".insteadOf git://

# npm using git for https
git config --global url."git@github.com:".insteadOf https://github.com/
git config --global url."git://".insteadOf https://

CristinaSolana

1. Clone your fork:

git clone git@github.com:YOUR-USERNAME/YOUR-FORKED-REPO.git

2. Add remote from original repository in your forked repository:

cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream

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

KartikTalwar

The fastest remote directory rsync over ssh archival I can muster (40MB/s over 1gb NICs)

This creates an archive that does the following:

rsync (Everyone seems to like -z, but it is much slower for me)

• a: archive mode - rescursive, preserves owner, preserves permissions, preserves modification times, preserves group, copies symlinks as symlinks, preserves device files.
• H: preserves hard-links
• A: preserves ACLs

hfreire

# Install QEMU OSX port with ARM support
sudo port install qemu +target_arm
export QEMU=$(which qemu-system-arm)

# Dowload kernel and export location
curl -OL \
https://github.com/dhruvvyas90/qemu-rpi-kernel/blob/master/kernel-qemu-4.1.7-jessie
export RPI_KERNEL=./kernel-qemu-4.1.7-jessie

# Download filesystem and export location

zachwill

"""
A simple FiveThirtyEight palette for Seaborn plots.
"""

import seaborn as sns
import matplotlib.pyplot as plt

five_thirty_eight = [
    "#30a2da",
    "#fc4f30",

luiscape

#
#  Original solution via StackOverflow:
#    http://stackoverflow.com/questions/35802939/install-only-available-packages-using-conda-install-yes-file-requirements-t
#

#
#  Install via `conda` directly.
#  This will fail to install all
#  dependencies. If one fails,
#  all dependencies will fail to install.

rosghub

#
#    Configuration files for Manjaro i3 on Lenovo Yoga 2 pro 
#    to scale properly on HiDPI (3200x1800)
#
#####################################################
~/.profile                                          #
#####################################################

# UI element scaling, icons
export GDK_SCALE=2

aliva

#include <X11/Xlib.h>
#include <iostream>
#include <unistd.h>

int main(void) {
    Display* dpy = XOpenDisplay(0);
    int scr = XDefaultScreen(dpy);
    Window root_window = XRootWindow(dpy, scr);

    int height = DisplayHeight(dpy, scr);