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@cheadrian
cheadrian / Youtube_Livestream_Parts_download.py
Last active August 13, 2024 16:03
Download Youtube Live streamed video from the start or selected time
#With the help of this script you can download parts from the Youtube Video that is live streamed, from start of the stream till the end
import urllib.request
import os
#E.G: "https://r4---sn-gqn-p5ns.googlevideo.com/videoplayback?expire=1603041842& ..... 2.20201016.02.00&sq="
#The sound link should contain: &mime=audio in it.
#Here's an example from NASA LIVE:
#VIDEO: https://r5---sn-gqn-p5ns.googlevideo.com/videoplayback?expire=1603165657&ei=eQmOX8TeFtS07gO1xLWwDA&ip=79.115.11.159&id=DDU-rZs-Ic4.1&itag=137&aitags=133%2C134%2C135%2C136%2C137%2C160&source=yt_live_broadcast&requiressl=yes&mh=PU&mm=44%2C29&mn=sn-gqn-p5ns%2Csn-c0q7lnsl&ms=lva%2Crdu&mv=m&mvi=5&pl=20&initcwndbps=1350000&vprv=1&live=1&hang=1&noclen=1&mime=video%2Fmp4&gir=yes&mt=1603143920&fvip=5&keepalive=yes&fexp=23915654&c=WEB&sparams=expire%2Cei%2Cip%2Cid%2Caitags%2Csource%2Crequiressl%2Cvprv%2Clive%2Chang%2Cnoclen%2Cmime%2Cgir&sig=AOq0QJ8wRQIgQMnxy1Yk3HLTpqbOGmjZYH1CXCTNx6u6PgngAVGi4EQCIQDWyaye-u_KGyVQ0HRUsyKVaAzyXbmzDqOGVGpIyP7VtA%3D%3D&lspa
@szepeviktor
szepeviktor / Wistia-download-videos.md
Last active December 30, 2025 23:11
Download Wistia videos - Please do not misuse it!

Download Wistia videos

  1. right-click on the playing video, select Copy link
  2. find Wistia video ID in the copied link e.g. wvideo=tra6gsm6rl
    • alternative: look for e.g. hashedId=tra6gsm6rl in the page source
  3. load http://fast.wistia.net/embed/iframe/ + video ID in your browser
  4. look for "type":"original" in the page source and copy the URL from the next line e.g. "url":"http://embed.wistia.com/deliveries/129720d1762175bcd8e06dcab926ec76ad38ff00.bin"
  • alternative: look for "type":"hd_mp4_video"
@steven2358
steven2358 / ffmpeg.md
Last active December 25, 2025 16:52
FFmpeg cheat sheet
@ElectricRCAircraftGuy
ElectricRCAircraftGuy / switch-local-git-repo-to-fork.md
Last active December 27, 2025 02:39 — forked from jpierson/switch-local-git-repo-to-fork.md
How to move to a fork after cloning

If you are like me you find yourself cloning a repo, making some proposed changes and then deciding to later contributing back using the GitHub Flow convention. Below is a set of instructions I've developed for myself on how to deal with this scenario and an explanation of why it matters based on jagregory's gist.

To follow GitHub flow you should really have created a fork initially as a public representation of the forked repository and the clone that instead. My understanding is that the typical setup would have your local repository pointing to your fork as origin and the original forked repository as upstream so that you can use these keywords in other git commands.

  1. Clone some repo (you've probably already done this step).

    git clone git@github...some-repo.git
@oliveratgithub
oliveratgithub / emojis.json
Last active January 1, 2026 09:34
Emoji-list with emojis, names, shortcodes, unicode and html entities [massive list]
{
"emojis": [
{"emoji": "πŸ‘©β€πŸ‘©β€πŸ‘§β€πŸ‘§", "name": "family: woman, woman, girl, girl", "shortname": ":woman_woman_girl_girl:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F467", "html": "👩‍👩‍👧‍👧", "category": "People & Body (family)", "order": ""},
{"emoji": "πŸ‘©β€πŸ‘©β€πŸ‘§β€πŸ‘¦", "name": "family: woman, woman, girl, boy", "shortname": ":woman_woman_girl_boy:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F466", "html": "👩‍👩‍👧‍👦", "category": "People & Body (family)", "order": ""},
{"emoji": "πŸ‘©β€πŸ‘©β€πŸ‘¦β€πŸ‘¦", "name": "family: woman, woman, boy, boy", "shortname": ":woman_woman_boy_boy:", "unicode": "1F469 200D 1F469 200D 1F466 200D 1F466", "html": "👩‍👩‍👦‍👦", "category": "People & Body (family)", "order": ""},
{"emoji": "πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘§", "name": "family: man, woman, girl, girl", "shortname": ":man_woman_girl_girl:", "unicode": "1F468 200D 1F469 200D 1F467 200D 1F467", "html": "👨‍👩&z
@denilsonsa
denilsonsa / README.md
Last active May 1, 2024 11:37
Train Conductor World - tiled map

Train Conductor World - tiled map

[Train Conductor World][tcw] is mobile game (for [iOS][ios] and [Android][and]) by [The Voxel Agents][tva]. The game has several cities on a world map (currently, only European cities).

This project (i.e. this GitHub Gist) is an effort to replicate the game world map outside the game. For that, I've used [Tiled Map Editor][tiled] to rebuild the map, and [Gimp][gimp] to create the graphics. This map can be used in the future to help planning in-game routes.

The graphics are based on [in-game screenshots][ss].

@dschep
dschep / raspbian-python3.6.rst
Last active October 7, 2025 10:31 — forked from BMeu/raspbian-python3.5.rst
Installing Python 3.6 on Raspbian

Installing Python 3.6 on Raspbian

As of January 2018, Raspbian does not yet include the latest Python release, Python 3.6. This means we will have to build it ourselves, and here is how to do it. There is also an ansible role attached that automates it all for you.

  1. Install the required build-tools (some might already be installed on your system).
@andrewjbennett
andrewjbennett / snip.sh
Created November 5, 2016 02:28
Takes a screenshot of a selected area, saves to file *and* copies to clipboard.
#!/bin/bash
# A script to take a screenshot, save to a file *and* copy to clipboard.
# Because gnome-screenshot can't do both.
# Assumes you have `gnome-screenshot` and `xclip` installed
# Andrew Bennett <andrew.bennett@unsw.edu.au> 2016-11-05
USERNAME=$(whoami)
@MightyPork
MightyPork / usb_hid_keys.h
Last active November 6, 2025 19:03
USB HID Keyboard scan codes
/**
* USB HID Keyboard scan codes as per USB spec 1.11
* plus some additional codes
*
* Created by MightyPork, 2016
* Public domain
*
* Adapted from:
* https://source.android.com/devices/input/keyboard-devices.html
*/
@nylki
nylki / char-rnn recipes.md
Last active November 22, 2025 10:34
char-rnn cooking recipes

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.