nk9

#!/usr/bin/python
# -*- coding: utf-8 -*-

# Python script to find the largest files in a git repository.
# The general method is based on the script in this blog post:
# http://stubbisms.wordpress.com/2009/07/10/git-script-to-show-largest-pack-objects-and-trim-your-waist-line/
#
# The above script worked for me, but was very slow on my 11GB repository. This version has a bunch
# of changes to speed things up to a more reasonable time. It takes less than a minute on repos with 250K objects.
#

tpoisot

{
   "c_key": "ConsumerKey", 
   "c_sec": "ConsumerSecret",
   "t_key": "TokenKey",
   "t_sec": "TokenSecret"
}

isaacs

# Hello, and welcome to makefile basics.
#
# You will learn why `make` is so great, and why, despite its "weird" syntax,
# it is actually a highly expressive, efficient, and powerful way to build
# programs.
#
# Once you're done here, go to
# http://www.gnu.org/software/make/manual/make.html
# to learn SOOOO much more.

karawoo

baptiste

library(ggplot2)
library(grid)

my_axis <- function(low="low", high="high", axis=c("x", "y"), ...){
  
  axis <- match.arg(axis)
  
  if(axis == "x"){
    g1 <- textGrob(low, x=unit(0,"npc"), hjust=0)
    g3 <- textGrob(high, x=unit(1,"npc"), hjust=1)

valentinitnelav

# ==========================================================================
# Example of plot for publication with inwards ticks in ggplot
# ==========================================================================

library(ggplot2)

# ==================================
# create some data
# ==================================
set.seed(1)

magnetikonline

List all Git repository objects by size

• Summary
• Example

Summary

Bash script which will:

• Iterate all commits made within a Git repository.

noamross

library(rtweet) #rtweet API creds should already be set up
library(stringi)
library(dplyr)

friends = get_friends(user="noamross")
followers = get_followers("noamross")
tweeps_id = distinct(bind_rows(friends, followers))
tweeps_info = lookup_users(tweeps_id$user_id)

# A regex for a visit to Durham

baptiste

library(grImport2)
library(grConvert)
library(egg)

convertPicture("noun_3663.svg", "balloon.svg")
balloon <- readPicture("balloon.svg")


d <- data.frame(x=1:9, y=rnorm(9), 
                data = I(Map(function(c, s) list(c=c,s=s),c=blues9,s=1:9)), 

DavisVaughan

library(purrr)
library(lobstr)
library(glue)
library(rlang, warn.conflicts = FALSE)

make_an_lm <- function() {
  x <- rep(1L, times = 10000000)
  cat(glue("x is {object.size(x)}B"))
  lm(1 ~ 1)
}