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Dan Gayle dangayle

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@dangayle
dangayle / install_packages.sh
Created December 25, 2025 01:47
macOS bulk installer for audio plugins, etc.
#!/bin/bash
# Global variables for cleanup
MOUNT_POINTS=()
TEMP_DIRS=()
INSTALLED=()
FAILED=()
# Verbose flag (default is quiet). Use `--verbose` or `-v` to enable.
VERBOSE=0
@dangayle
dangayle / conventional-commits-cheatsheet.md
Created December 18, 2025 18:57 — forked from qoomon/conventional-commits-cheatsheet.md
Conventional Commits Cheatsheet
@dangayle
dangayle / models.py
Created May 29, 2020 18:18
from app import db
from sqlalchemy import func, types
from sqlalchemy.dialects import postgresql
class JSONCache(db.Model):
id = db.Column(db.Integer, primary_key=True)
key = db.Column(db.String, nullable=False, index=True)
data = db.Column(postgresql.JSONB, nullable=False)
timestamp = db.Column(types.TIMESTAMP, server_default=func.now(), nullable=False)
@dangayle
dangayle / README.md
Created April 24, 2019 21:00 — forked from mrbar42/README.md
bash scripts to create VOD HLS stream with ffmpeg almighty (tested on Linux and OS X)

running:

bash create-vod-hls.sh beach.mkv

will produce:

    beach/
      |- playlist.m3u8
 |- 360p.m3u8
@dangayle
dangayle / ffmpeg.sh
Created March 2, 2019 00:51 — forked from crookm/ffmpeg.sh
FFmpeg commands to create DASH and HLS
mkdir dash && \
ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 400k -r 30 -dash 1 dash/426x240-30-400k.webm && \
ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 600k -r 30 -dash 1 dash/426x240-30-600k.webm && \
ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 700k -r 30 -dash 1 dash/640x360-30-700k.webm && \
ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 900k -r 30 -dash 1 dash/640x360-30-900k.we
@dangayle
dangayle / isElementInViewport.js
Created January 4, 2019 03:54 — forked from davidtheclark/isElementInViewport.js
JavaScript: Is element in viewport?
/*
No jQuery necessary.
Thanks to Dan's StackOverflow answer for this:
http://stackoverflow.com/questions/123999/how-to-tell-if-a-dom-element-is-visible-in-the-current-viewport
*/
function isElementInViewport(el) {
var rect = el.getBoundingClientRect();
return (
rect.top >= 0 &&
@dangayle
dangayle / classify_startstop.py
Created May 24, 2017 23:56 — forked from shivkanthb/classify_startstop.py
Subscribe and unsubscribe to messages
from textblob.classifiers import NaiveBayesClassifier
from textblob import TextBlob
train = [
('Take me off', 'stop'),
('Stop texting','stop'),
('stop messaging','stop'),
('Don\'t talk', 'stop'),
('Stop messaging','stop'),
('dont want to talk anymore','stop'),
@dangayle
dangayle / contact.html
Created May 10, 2017 18:42 — forked from tgroshon/contact.html
Formatted snippet authored by Jeff Richards (http://www.jrichards.ca/)
<html>
<head>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script>
function submitToAPI() {
var URL = ‘/contact’;
var data = {
name: $(‘#name-input’).val(),
email: $(‘#email-input’).val(),
description: $(‘#description-input’).val()
@dangayle
dangayle / app.js
Created January 2, 2017 22:28
Loading Tachyons using Webpack and React
import React from 'react';
import Tachyons from 'tachyons/css/tachyons.min.css'
const App = () => (
<div className="mw9 center">
<h2 className="red sans-serif tc">Hello, world</h2>
</div>
);
export default App;
@dangayle
dangayle / methodology.md
Last active August 23, 2016 19:47
Calculate the population of an area affected by active wildfires

Create estimate of population affected by active fires

The goal is to estimate the amount of people affected by active fires in a given area, using VIIRS satellite data and US Census data

  1. Cluster fire data points from VIIRS data into groups, representing active fire areas
  2. For each group, create a polygon that contains all points (a convex hull), this represents the boundaries of a given fire area