ljwolf

def joyplot(data, ax=None, 
            flatten = .1, #rescale the height of each distribution to avoid overlap. If large, will flatten out each of the KDEs
            linecolor='k', 
            shadecolor='w',
            alpha=1,
            shade=True, 
            line_kws = None,
            kde_kws=None,
            fig_kws=None,
            shade_kws=None):

ageitgey

Install dlib and face_recognition on a Raspberry Pi

Instructions tested with a Raspberry Pi 2 with an 8GB memory card. Probably also works fine on a Raspberry Pi 3.

Steps

Download the latest Raspbian Jessie Light image. Earlier versions of Raspbian won't work.

Write it to a memory card using Etcher, put the memory card in the RPi and boot it up.

hrbrmstr

---
title: "Airport Wi-Fi"
author: ""
date: "`r sprintf('Last run: %s', format(Sys.time(), '%d %B, %Y'))`"
output: 
  html_document:
    code_download: true
---

```{r setup, include=FALSE}

darribas

ctesta01

Quickstart Guide to undertsanding the Qualtrics Survey File

This information is likely to quickly become outdated when Qualtrics next changes the formatting of the QSF file. This guide was started February 2017. I hope that it is a useful introduction to understanding the contents of the QSF file that one can download from Qualtrics.

This document includes:

• An introduction to JSON
• The Anatomy of a Qualtrics Survey File (QSF)
• A Breakdown of Question Structure
• A Guide to Recognizing Question Types

HackerEarthBlog

#load the package
require(h2o)

#start h2o
localH2o <- h2o.init(nthreads = -1, max_mem_size = "20G")

#load data on H2o
trainh2o <- as.h2o(train)
testh2o <- as.h2o(test)

walkerke

library(idbr) 
library(ggplot2)
library(animation)
library(dplyr)
library(gganimate)

idb_api_key("Your Census API key goes here")

male <- idb1('IN', 2000:2050, sex = 'male') %>%
  mutate(POP = POP * -1,

stuartlynn

vasishth

## Load library:
library("exams")

## exam questions:
myexamlist<-list("pnorm1","sesamplesize1multiplechoice")

## output directory
## create new test dir if one does not exist:
files.list<-system("ls",intern=TRUE)

vasishth

\documentclass[10pt,a4paper]{article}

%% packages
\usepackage{a4wide,verbatim,Sweave,url}

%% new environments
\newenvironment{question}{\item}{}
\newenvironment{solution}{\comment}{\endcomment}
\newenvironment{answerlist}{\renewcommand{\labelenumi}{(\alph{enumi})}\begin{enumerate}}{\end{enumerate}}