gricard

If you enjoyed reading this, I'm intending to do more blogging like this over here: https://cdgd.tech

This is not a complaint about Webpack or v4 in any way. This is just a record of my process trying it out so I could provide feedback to the webpack team

Hmm... I don't see any docs for 4.0 on https://webpack.js.org. I guess I'll just wing it. All I need to do is npm i -D webpack@next, right?

+ webpack@4.0.0-beta.2

gretel

#!/usr/bin/env bash
# https://gist.github.com/gretel/34008d667a8a243a9682e5207619ad95
# 2016 tom hensel <github@jitter.eu>
# `vagrant` on `ubuntu-16.04` can get in conflict with *unattended-upgrade* running and locking the `dpkg` subsystem. this script waits gracefully
# in `Vagrantfile`:
#  config.vm.provision 'Wait for unattended-upgrades', type: 'shell', path: './provisioning/wait_unattended_upgrades.sh', args: %w( dpkg apt unattended-upgrade )
#

function wait_procnames {
    while true; do

justinclayton

#!/bin/bash

module=$1

for resource in `terraform show -module-depth=1 | grep module.${module} | tr -d ':' | sed -e 's/module.${module}.//'`; do
  terraform taint -module ${module} ${resource}
done

bittner

# Set inotify watch limit high enough for IntelliJ IDEA (PhpStorm, PyCharm, RubyMine, WebStorm).
# Create this file as /etc/sysctl.d/60-jetbrains.conf (Debian, Ubuntu), and
# run `sudo service procps start` or reboot.
# Source: https://confluence.jetbrains.com/display/IDEADEV/Inotify+Watches+Limit
# 
# More information resources:
# -$ man inotify  # manpage
# -$ man sysctl.conf  # manpage
# -$ cat /proc/sys/fs/inotify/max_user_watches  # print current value in use

erikhazzard

#!/bin/bash
sudo apt-get update
sudo apt-get install gcc
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1204/x86_64/cuda-repo-ubuntu1204_5.5-0_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1204_5.5-0_amd64.deb
sudo apt-get update
sudo apt-get install cuda
export PATH=/usr/local/cuda-5.5/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-5.5/lib64:$LD_LIBRARY_PATH
sudo apt-get install opencl-headers python-pip python-dev python-numpy python-mako

RedBeard0531

// derived from http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm

function map() {
    emit(1, // Or put a GROUP BY key here
         {sum: this.value, // the field you want stats for
          min: this.value,
          max: this.value,
          count:1,
          diff: 0, // M2,n:  sum((val-mean)^2)
    });

esperlu

#!/bin/sh

# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.

# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.

# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite