isaacs

echo 'export PATH=$HOME/local/bin:$PATH' >> ~/.bashrc
. ~/.bashrc
mkdir ~/local
mkdir ~/node-latest-install
cd ~/node-latest-install
curl http://nodejs.org/dist/node-latest.tar.gz | tar xz --strip-components=1
./configure --prefix=~/local
make install # ok, fine, this step probably takes more than 30 seconds...
curl https://www.npmjs.org/install.sh | sh

brianewing

import os, hashlib, urllib2, optparse

def get_remote_md5_sum(url, max_file_size=100*1024*1024):
    remote = urllib2.urlopen(url)
    hash = hashlib.md5()

    total_read = 0
    while True:
        data = remote.read(4096)
        total_read += 4096

glennblock

git fetch upstream
git reset --hard upstream/master

olistik

# place this file in ~/.config/terminator/config
[global_config]
  title_transmit_bg_color = "#d30102"
  focus = system
[keybindings]
  reset_clear = <Ctrl>R
  new_tab = <Ctrl>T
  split_horiz = <Ctrl><Shift>E
  split_vert = <Ctrl>E
  close_term = <Ctrl><Shift>W

nikita-volkov

import Data.List
import qualified Data.Set as Set
import Criterion.Main 
import System.Random
import Control.Applicative



main :: IO ()

chrissimpkins

Use these rapid keyboard shortcuts to control the GitHub Atom text editor on macOS.

Key to the Keys

• ⌘ : Command key
• ⌃ : Control key
• ⌫ : Delete key
• ← : Left arrow key
• → : Right arrow key
• ↑ : Up arrow key

mlebkowski

#!/bin/bash

# remove exited containers:
docker ps --filter status=dead --filter status=exited -aq | xargs -r docker rm -v
    
# remove unused images:
docker images --no-trunc | grep '<none>' | awk '{ print $3 }' | xargs -r docker rmi

# remove unused volumes:
find '/var/lib/docker/volumes/' -mindepth 1 -maxdepth 1 -type d | grep -vFf <(

efrecon

docker run \
  --name {{printf "%q" .Name}} \
    {{- with .HostConfig}}
        {{- if .Privileged}}
  --privileged \
        {{- end}}
        {{- if .AutoRemove}}
  --rm \
        {{- end}}
        {{- if .Runtime}}

taylorpaul

Environment:

OS: CENTOS 6.8 (No root access)

GCC: locally installed 5.2.0 (Cluster default is 4.4.7)

Bazel: 0.4.0-2016-11-06 (@fa407e5)

Tensorflow: v0.11.0rc2

CUDA: 8.0