Mundo DamengRandom

LOL eSports API

Unofficial documentation to internal Riot Games APIs for LOL eSports.

Tournament Week Schedule
Week Schedule
Program Blocks
League
Tournament
Match

Add Git Branch Name to Terminal Prompt (Linux/Mac)

Open ~/.bash_profile in your favorite editor and add the following content to the bottom.

# Git branch in prompt.

parse_git_branch() {

RxJS 5 Operators By Example

⚠️ UPDATE: I have moved the contents of this gist plus more to http://www.learnrxjs.io and https://github.com/btroncone/learn-rxjs. For expanded examples, explanations, and resources, please check out this new location!

A complete list of RxJS 5 operators with easy to understand explanations and runnable examples.

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.

	/**
	* the HTML5 autofocus property can be finicky when it comes to dynamically loaded
	* templates and such with AngularJS. Use this simple directive to
	* tame this beast once and for all.
	*
	* Usage:
	* <input type="text" autofocus>
	*
	* License: MIT
	*/

	/*
	This example was built using standard create-react-app out of the box with no modifications or ejections
	to the underlying scripts.

	In this example, i'm using Google as a social provider configured within the Cognito User Pool.

	Each step also represents a file, so you can see how I've chosen to organize stuff...you can do it however
	you'd like so long as you follow the basic flow (which may or may not be the official way....but its what I found that works.
	The docs are pretty horrible)

	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp