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@Aghassi
Aghassi / docker-compose.yml
Last active July 18, 2024 17:29
LinuxServer Docker Compose: Plex, Sonarr, Radarr, NZBGet, Let's Encrypt, Time Machine
version: '2'
services:
plex:
image: linuxserver/plex
container_name: plex
volumes:
- /path/to/plex/config:/config
- /path/to/plex/Movies:/data/movies
- /path/to/plex/Shows:/data/tvshows
- /path/to/plex/transcode:/data/transcode
@deangiberson
deangiberson / download_all_humblebundle.js
Last active May 10, 2019 23:35
Download humble bundle contents
/*
After purchasing a humble book bundle, go to your download page for that bundle.
Open a console window for the page and paste in the below javascript
*/
function getTitle() {
var re = /^Humble.*Bundle\:\ (.*)\ \(/g;
return re.exec(document.title)[1];
}
@mmathys
mmathys / vimeo-vod.md
Last active May 5, 2025 15:26
Download Vimeo VOD (video on demand)

How to download vimeo VOD for offline usage

Variant 1: yt-dlp

Using yt-dlp (thank you @ayyucedemirbas!)

You must have a Vimeo account, do not sign in via Google or anything else, yt-dlp asks for your email address and password to log in.

You must install the yt-dlp via the command below (for MacOS):

How to setup a practically free CDN using Backblaze B2 and Cloudflare

⚠️ Note 2023-01-21
Some things have changed since I originally wrote this in 2016. I have updated a few minor details, and the advice is still broadly the same, but there are some new Cloudflare features you can (and should) take advantage of. In particular, pay attention to Trevor Stevens' comment here from 22 January 2022, and Matt Stenson's useful caching advice. In addition, Backblaze, with whom Cloudflare are a Bandwidth Alliance partner, have published their own guide detailing how to use Cloudflare's Web Workers to cache content from B2 private buckets. That is worth reading,

@jeffmylife
jeffmylife / desc.md
Last active June 27, 2025 18:38
Convert natural language dates and time expressions (like "next Tuesday", "in 2 weeks", "next summer") into Python datetime objects using Claude/LLM. Parse relative dates, fuzzy time expressions, and human language into structured timestamps.

Natural Language Time Parser using LLM

A Python utility that converts natural language time expressions into structured datetime objects using LLMs. Perfect for parsing user inputs like "next Tuesday", "in a few months", or "sometime next summer".

Features:

  • Converts natural language to precise dates
  • Handles relative time expressions
  • Season awareness
  • Configurable word translations (e.g., "few" = 3-4, "several" = 5-6)
  • Returns structured output with confidence indicators