larsch

#!/bin/sh -exu
dev=$1
cd $(mktemp -d)

function umountboot {
    umount boot || true
    umount root || true
}

# RPi1/Zero (armv6h):

calligross

library(shiny)
library(shinyjs)

if (!dir.exists('www/')) {
  dir.create('www')
}

download.file(
  url = 'https://cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js',
  destfile = 'www/js.cookie.js'

tomsing1

First steps with the Luigi workflow manager

As an introduction into Luigi, I am following this tutorial with some modifications, e.g. installation using conda.

The problems and solutions described in the examples below have led to the development of sciluigi,

pvictor

library(shiny)
ui <- fluidPage(
  selectizeInput(
    inputId = "select", 
    label = "Select", 
    choices = NULL,
    multiple = TRUE,
    options = list(
      plugins = list("remove_button"),
      create = TRUE,

trinker

p_load(formattable)
DF <- data.frame(Ticker=c("", "", "", "IBM", "AAPL", "MSFT"),
                 Name=c("Dow Jones", "S&P 500", "Technology", 
                        "IBM", "Apple", "Microsoft"),
                 Value=accounting(c(15988.08, 1880.33, NA, 
                                    130.00, 97.05, 50.99)),
                 Change=percent(c(-0.0239, -0.0216, 0.021, 
                                  -0.0219, -0.0248, -0.0399)))
DF
##   Ticker       Name     Value Change

trinker

dat <- data.frame(
    freq = c(37, 88, 47, 89, 28, 68, 65, 98, 68, 86, 50, 87, 59, 82, 45, 65, 52, 32, 59, 47, 68, 78, 39, 31, 64, 68)
)

dat[["sector"]] <- rep(c("U.S. adults", "AAAS scientist"), nrow(dat)/2)

field <- c("Biomedical sciences", "Climate, energy, space sciences")
dat[["field"]] <- factor(rep(field, c(10, 16)), levels=field)

items <-  c(

bschwartz757

/* Client side, works in Chrome 55 and Firefox 52 without transpilation */
//https://blogs.msdn.microsoft.com/typescript/2016/11/08/typescript-2-1-rc-better-inference-async-functions-and-more/
async function fetchURLs() {
    try {
      // Promise.all() lets us coalesce multiple promises into a single super-promise
      var data = await Promise.all([
        /* Alternatively store each in an array */
        // var [x, y, z] = await Promise.all([
        // parse results as json; fetch data response has several reader methods available:
        //.arrayBuffer()

trinker

if (!require("pacman")) install.packages("pacman"); library(pacman)
p_load(tidyverse, cowplot)

cols <- c(lightblue = '#62B1F6', darkblue = '#27408B')

dat <- data_frame(
    type = state.name[1:18],
    Total = c(522, 464, 332, 185, 90, 811, 121, 242, 258, 175, 346, 217, 186, 133, 144, 136, 53, 306),
    Sub = c(6, 6, 13, 19, 21, 11, 7, 8, 16, 29, 78, 71, 90, 68, 90, 99, 35, 14)
)

jcavat

FROM php:7.1.2-apache 
RUN docker-php-ext-install mysqli

keithweaver

# For more info: http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_gui/py_video_display/py_video_display.html
import cv2
import numpy as np
import os

FILE_OUTPUT = 'output.avi'

# Checks and deletes the output file
# You cant have a existing file or it will through an error
if os.path.isfile(FILE_OUTPUT):