dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

abresler

library(dplyr)
library(tidyr)
library(magrittr)
library(ggplot2)
"http://academic.udayton.edu/kissock/http/Weather/gsod95-current/NYNEWYOR.txt" %>%
	read.table() %>% data.frame %>% tbl_df -> data
names(data) <- c("month", "day", "year", "temp")

data %>%
	group_by(year, month) %>%

brendano

# Load the MNIST digit recognition dataset into R
# http://yann.lecun.com/exdb/mnist/
# assume you have all 4 files and gunzip'd them
# creates train$n, train$x, train$y  and test$n, test$x, test$y
# e.g. train$x is a 60000 x 784 matrix, each row is one digit (28x28)
# call:  show_digit(train$x[5,])   to see a digit.
# brendan o'connor - gist.github.com/39760 - anyall.org

load_mnist <- function() {
  load_image_file <- function(filename) {

seanjtaylor

alexpghayes

library(tidyverse)

x <- seq(0, 10, length.out = 100)

unobserved <- tibble(
  x = x, 
  true_curve1 = sin(x),
  true_curve2 = tanh(x) - 0.5,
 coin = as.logical(rbinom(length(x), size = 1, prob = 0.5)),

chrisalbon

# -*- coding: utf-8 -*-

""" Deletes all tweets below a certain retweet threshold.
"""

import tweepy
from datetime import datetime

# Constants
CONSUMER_KEY = ''

hadley

library("shiny")

x <- runApp(shinyApp(
  fluidPage(
    "Password:", 
    tags$input(id = "password", type = "password"),
    actionButton("done", "Done")
  ),
  function(input, output) {
    observe({

veekaybee

Wholesome Data Science

Data science has a really bad reputation recently. Between Facebook's privacy violations , facial scanning at kiosks in restaurants, and racism in algorithms, there are a lot of cases where surveillance, invasion of privacy, and unethical algorithms are dominating the news.

These cases are really important to make public, study, and prevent. But it's just as important to collect examples of good use cases of data science (that are not hyperbolized or PR fluff) so we can focus on those as an industry, and learn about what makes them work, as well.

Have some? Make some? Feel free to leave a comment or edit.

Examples

phck

noamross

#!/bin/bash

# Usage: mkproj [projectname]
# projectname defaults to name of current directory

template="Version: 1.0

RestoreWorkspace: No
SaveWorkspace: No
AlwaysSaveHistory: Yes