karnoult

from config import get_parameter
from helper import parse_chat_transcript, response
import json
import re
from zendesk import Zendesk

ZENDESK_CREDENTIALS = json.loads(get_parameter("zendesk-credentials", True))
ZENDESK_SUBDOMAIN = ZENDESK_CREDENTIALS["subdomain"]
ZENDESK_USERNAME = ZENDESK_CREDENTIALS["username"]
ZENDESK_API_TOKEN = ZENDESK_CREDENTIALS["api-token"]

mmascher

DiracX CLI: Connecting to the CMS DiracX Test Deployment

This is a recipe for connecting to the CMS DiracX test deployment at:

https://cms-diracx-test18.cern.ch/

and using the DiracX CLI to authenticate and submit a simple job.

ashwch

Git Worktrees: From Zero to Hero

Table of Contents

1. What Are Git Worktrees? (First Principles)
2. The Problem Worktrees Solve
3. How Worktrees Work
4. Worktrees + Submodules: Monolith Setup
5. Practical Tutorial: Creating Your First Worktree
6. Advanced Workflows
7. Best Practices

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

R-udren

Roadmap

Подробная дорожная карта для изучения основ Python

Уровень 1: Основы языка

• Установить Python.
• Запустить интерпретатор Python и создать первую программу.
• Изучить переменные и типы данных (целые числа, числа с плавающей точкой, строки).
• Освоить математические операторы и логические операторы.
• Изучить условные операторы (if, elif, else) и циклы (for, while).

mateoltd

// ==UserScript==

// @name         Vectorizer.AI Downloader
// @version      0.1.0
// @description  Intercepts the canvas drawing process on vectorizer.ai to reconstruct and download the full SVG result for free.

// @author       mateoltd 
// @namespace    http://tampermonkey.net/
// @license      MIT

kJAHsin

Installing Google Chrome via APT

Note: This is an updated installation method for Google Chrome, as the previous apt-get approach has been deprecated. Note: sh file is attached.

1. Set Up the Google Signing Key and Repository

Add Google’s public signing key and set up the APT repository for Google Chrome:

curl -fsSL https://dl.google.com/linux/linux_signing_key.pub | sudo gpg --dearmor -o /usr/share/keyrings/google-chrome.gpg

Jolina12com

"""
Floating Lyric Windows Animation (Permanent Stack Version)
------------------------------------------------------------
Every lyric line appears in its own popup window — all windows are
exactly the same fixed size and font as the "Start" button window.
Boxes never disappear or fade. Each new box spawns at a random safe
X position near the bottom of the screen; as new boxes appear below,
every existing box shifts upward smoothly, creating a continuous
rising stack of lyric windows, synced to a song.

akshay-abraham

ReVanced CLI Guide

Important

Looking for the Morphe version?

If you're starting from scratch or considering switching, I've also written a beginner-friendly Morphe CLI guide.

Morphe has a simpler CLI workflow, supports newer app versions and patches, and is updated frequently. >