steven2358

FFmpeg cheat sheet

A list of useful commands for the FFmpeg command line tool.

Download FFmpeg: https://www.ffmpeg.org/download.html

Full documentation: https://www.ffmpeg.org/ffmpeg.html

Basic conversion

conormm

R to python data wrangling snippets

The dplyr package in R makes data wrangling significantly easier. The beauty of dplyr is that, by design, the options available are limited. Specifically, a set of key verbs form the core of the package. Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe. Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R. The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).

dplyr is organised around six key verbs:

elliottmorris

#' Description
#' This file runs a live election-night forecast based on The Economist's pre-election forecasting model
#' available at projects.economist.com/us-2020-forecast/president.
#' It is resampling model based on https://pkremp.github.io/update_prob.html.
#' This script does not input any real election results! You will have to enter your picks/constraints manually (scroll to the bottom of the script).
#' 
#' Licence
#' This software is published by *[The Economist](https://www.economist.com)* under the [MIT licence](https://opensource.org/licenses/MIT). The data generated by *The Economist* are available under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
#' The licences include only the data and the software authored by *The Economist*, and do not cover any *Economist* content or third-party data or content made available using the software. More information about licensing, syndication and the copyright of *Economist* content can be fou

wadey

# Usage:
# source iterm2.zsh

# iTerm2 tab color commands
# https://iterm2.com/documentation-escape-codes.html

if [[ -n "$ITERM_SESSION_ID" ]]; then
    tab-color() {
        echo -ne "\033]6;1;bg;red;brightness;$1\a"
        echo -ne "\033]6;1;bg;green;brightness;$2\a"

dsparks

SmoothCoefficientPlot <- function(models, modelnames = "", removeintercept = FALSE){
  # models must be a list()

  Alphas <- seq(1, 99, 2) / 100

  Multiplier <- qnorm(1 - Alphas / 2)
  zzTransparency <<- 1/(length(Multiplier)/4)
  CoefficientTables <- lapply(models, function(x){summary(x)$coef})
  TableRows <- unlist(lapply(CoefficientTables, nrow))

theconektd

body {
  font-family: Helvetica, arial, sans-serif;
  font-size: 14px;
  line-height: 1.6;
  padding-top: 10px;
  padding-bottom: 10px;
  background-color: white;
  padding: 30px; }

body > *:first-child {

sheymann

/**
 * Linkurious 2012, all rights reserved.
 * Sébastien Heymann <seb@linkurio.us>,
 * Romain Yon <romain@linkurio.us>
 * 
 * Please use http://jsbeautifier.org/ and indent with 2 spaces.
 *
 * Lib docs:
 * http://twitter.github.com/bootstrap/
 * http://docs.jquery.com/

mbostock

license: gpl-3.0
height: 600
border: no
redirect: https://beta.observablehq.com/@mbostock/d3-choropleth

ikashnitsky

#===============================================================================
# 2019-07-19-- ikashnitsky.github.io
# Reproduce Figure 2 from http://doi.org/10.1007/s10708-018-9953-5
# Ilya Kashnitsky, ilya.kashnitsky@gmail.com
#===============================================================================

library(tidyverse)
library(hrbrthemes); import_roboto_condensed()

# the data as tribble

clauswilke

---
title: "World maps"
output:
  html_document:
    df_print: paged
---

```{r echo = FALSE, message = FALSE}
library(tidyverse)
library(sf)