Sam Abbott seabbs

Instructions

CloudFlare is an awesome reverse cache proxy and CDN that provides DNS, free HTTPS (TLS) support, best-in-class performance settings (gzip, SDCH, HTTP/2, sane Cache-Control and E-Tag headers, etc.), minification, etc.

Make sure you have registered a domain name.
Sign up for CloudFlare and create an account for your domain.
In your domain registrar's admin panel, point the nameservers to CloudFlare's (refer to this awesome list of links for instructions for various registrars).
From the CloudFlare settings for that domain, enable HTTPS/SSL and set up a Page Rule to force HTTPS redirects. (If you want to get fancy, you can also enable automatic minification for text-based assets [HTML/CSS/JS/SVG/etc.], which is a pretty cool feature if you don't want already have a build step for minification.)
If you

Falsehoods programmers believe about time

This is a compiled list of falsehoods programmers tend to believe about working with time.

Don't re-invent a date time library yourself. If you think you understand everything about time, you're probably doing it wrong.

Falsehoods

There are always 24 hours in a day.
February is always 28 days long.
Any 24-hour period will always begin and end in the same day (or week, or month).

	-- 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 [email protected]:<YOUR ACCOUNT>/<YOUR REPOS>.git

	#' Replace multiple strings across multiple files with original values and replacement values.
	#'
	#' files - A character string of file names to work through.
	#' f - A character string of original values that you want to replace.
	#' r - A character string of replacement values (f->r).
	multi_replace <- function(files="", f="", r=""){
	file_line = data.frame() # (optional) tracking table
	#loop through each file separately
	for(j in 1:length(files)){
	nl <- suppressWarnings(readLines(files[j])) # read file line by line

	library(plotly)
	library(shiny)

	# compute a correlation matrix
	correlation <- round(cor(mtcars), 3)
	nms <- names(mtcars)

	ui <- fluidPage(
	mainPanel(
	plotlyOutput("heat"),

	## For password management
	git config --global user.email "[email protected]"
	git config --global user.name "Sam Abbott"
	git config --global credential.helper cache
	git remote set-url origin https://github.com/USERNAME/REPOSITORY.git

	# github settings
	# developer settings
	# create access token and copy
	# git pull/push

	#!/bin/bash

	TODAY=`date +%Y-%m-%d`
	TODAY_MD=`date +%B\ %d,\ %Y`
	YEAR=`date +%Y`

	PACKAGENAME=$1

	##
	## CHANGE ME!!!

	# Install and load the package --------------------------------------------
	if(!require(pacman))install.packages("pacman")

	pacman::p_load('dplyr', 'ggplot2', 'getTBinR')
	pacman::p_load_gh('thomasp85/patchwork')
	pacman::p_load_gh('bbc/bbplot')

	# Look at available datasets\ ---------------------------------------------

	available_datasets

	# Get required packages - managed using pacman ---------------------------
	# This installs packages if they are missing and otherwise loads them.
	if (!require(pacman)) install.packages("pacman"); library(pacman)
	p_load("tidyverse")
	p_load("fs")
	p_load("data.table")
	p_load("lubridate")
	p_load("purrr")
	p_load("furrr")

	library(future)

	# //////////////////////////////////////////////////////////////////////////////

	# Fresh R session takes around 40MB
	pryr::mem_used()
	#> Registered S3 method overwritten by 'pryr':
	#> method from
	#> print.bytes Rcpp
	#> 35.7 MB