Steve Cooper stevecooperorg

md2pdf

A tool to convert Markdown files to PDF using Pandoc and Typst.

Requirements

These three programs should be in your path;

Python 3
Pandoc

FFmpeg Installation and Video Conversion Tutorial for Windows

Overview

This tutorial will guide you through manually installing FFmpeg on Windows and using it to convert large video files (like 12GB files) into smaller, YouTube-compatible formats. You'll learn how to control the output resolution and quality to meet your specific needs.

Prerequisites

Windows 10 or later
Administrator access to your computer
A large video file you want to convert

	using System;
	using System.Collections.Generic;
	using System.Linq;
	using System.Text;
	using System.Threading.Tasks;

	namespace HelloPerson
	{

	using System;
	using System.Collections.Generic;
	using System.Linq;
	using System.Text;
	using System.Threading.Tasks;

	namespace HelloPerson
	{
	class Program
	{

	/*
	cd ~/IdeaProects/foo
	rm package.json
	rm -rf node_modules
	npm init -y
	npm install gulp --save-dev
	npm install jshint --save-dev
	npm install gulp-jshint --save-dev
	npm install gulp-watch --save-dev
	npm install jasmine --save-dev

	using System;
	using System.Collections.Generic;
	using System.Drawing; // include System.Drawing.dll
	using System.Drawing.Drawing2D;
	using System.Drawing.Imaging;
	using System.IO;
	using System.Linq;
	using System.Text;
	using System.Threading.Tasks;

	#!/bin/bash
	# create a RAMDISK like so `create-ram-disk 6` to create a 6Gb ramdisk.
	# diagnostic information is written to STDERR: the name of the newly-created disk is written to STDOUT

	# from https://stackoverflow.com/a/47354885/6722
	set -e

	FILEPATH="${BASH_SOURCE[0]}"
	FILE=$(basename "${FILEPATH}")
	DIR="$(cd "$(dirname "${FILEPATH}")" && pwd)"

	import mailbox

	def extract_from(mbox_file):
	mbox = mailbox.mbox(mbox_file)

	for message in mbox:
	print(message['from'])

	if __name__ == "__main__":
	import sys

	#!/usr/bin/env python3
	#
	# Script: extract_clips.py
	# Purpose: Extract multiple clips from a video file using faster keyframe-based
	# seeking, hardware-accelerated H.265 (hevc_videotoolbox), and specified audio filters.
	# Ensures QuickTime compatibility by tagging the video track as hvc1.

	import subprocess
	import os
	from typing import List, Tuple