renoirb

## in /etc/salt/master.d/pillars.conf

pillar_roots:
  base:
    - /srv/pillar
    - /srv/private/pillar

mariocesar

export PIP_DOWNLOAD_CACHE=/var/lib/jenkins/pip-cache
export AQUIPAGO_ENVIRONMENT=testing 

make

env/bin/pip install -r requirements/base.txt --download-cache=/var/lib/jenkins/pip-cache --use-mirrors --timeout 1
env/bin/pip install -r requirements/project.txt --download-cache=/var/lib/jenkins/pip-cache --use-mirrors --timeout 1
 
env/bin/python runtests.py || :
env/bin/pylint --rcfile=.pylintrc aquipago --ignore=test > reports/pylint.txt || :

LondonAppDev

#!/usr/bin/env bash

# Update the apt repos.
sudo apt-get update

# Install required dev packages.
sudo apt-get install -y language-pack-en
sudo apt-get install -y python3-dev python-pip python-dev

# Install virtualenvwrapper

sloped

<?php
//Use this function to create pagingation links that are styleable with Twitter Bootstrap

function paging() {
global $wp_query;

$total_pages = $wp_query->max_num_pages;

if ($total_pages > 1){
	$current_page = max(1, get_query_var('paged'));

microcipcip

function createStore(reducer, initialState) {
  let state = initialState;
  const listeners = [];
  const subscribe = listener => listeners.push(listener);

  const getState = () => state;
  const dispatch = action => {
    state = reducer(state, action);
    listeners.forEach(l => l());
  };

amalgjose

__author__ = 'Amal G Jose'

from datetime import datetime
from dateutil import relativedelta

##Aug 7 1989 8:10 pm
date_1 = datetime(1989, 8, 7, 20, 10)

##Dec 5 1990 5:20 am
date_2 = datetime(1990, 12, 5, 5, 20)

chrisdpa-tvx

All Your Data Does Not Belong In a Database

Businesses are machines producing mountains of data about sales, usage, customer, costs, etc... Traditionally data processing is highly centralised with teams of staff and computer running hot a whirling ready to process. We can do better than moving the mountain of data into the corporate data machine - so long as that machinary is light enough to be moved to the data.

Don't move the mountain - Bring the processing to the data

We've had this problem; a huge directory of files in CSV format, conataining vital information for our business. But it's in CSV, requires analysis, and don't you don't feel like learning sed/grep/awk today - besides it's 2017 and no-one thinks those tools are easy to use.

chrisbodhi

Deep Work

Rules for Focused Success in a Distracted World

Cal Newport, 2016 [purchase it at half-price books]

Part I: The Idea

• Deep Work is valuable
• Deep Work is rare
• Deep Work is meaningful

gustavohenke

var svg = document.querySelector( "svg" );
var svgData = new XMLSerializer().serializeToString( svg );

var canvas = document.createElement( "canvas" );
var ctx = canvas.getContext( "2d" );

var img = document.createElement( "img" );
img.setAttribute( "src", "data:image/svg+xml;base64," + btoa( svgData ) );

img.onload = function() {

hgomez

Scripted Jenkins Plugins install

Jenkins has a very rich catalog of plugins and it's quite easy to install and update them via UI. BTW, when you want to add tons of plugin via UI, it's a fairly long and boring procedure.

Hopefully, mass installation (or update) could be easy using a simple bash script (curl/python required) :

• https://raw.githubusercontent.com/hgomez/devops-incubator/master/forge-tricks/batch-install-jenkins-plugins.sh

Create a file containing plugins to be installed (or updated), ie iplugins :