Di Lu namoshizun

The introduction to Reactive Programming you've been missing

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

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.

Shadow DOM

Heads Up! It's all about the V1 Spec.

In a nutshell, Shadow DOM enables local scoping for HTML & CSS.

ChatGPT Resources

Context

ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?

I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.

	# Mathieu Blondel, September 2010
	# License: BSD 3 clause

	import numpy as np
	from numpy import linalg
	import cvxopt
	import cvxopt.solvers

	def linear_kernel(x1, x2):
	return np.dot(x1, x2)

	apt-get install python-pygraphviz
	pip install django-extensions
	# add 'django_extensions' to INSTALLED_APPS in settings.py
	python manage.py graph_models trees -o test.png

	import request from 'superagent';
	import cheerio from 'cheerio';
	import vo from 'vo';
	import {readFile} from 'fs';

	/**
	* An example generator
	*/
	function *gen(init) {
	//confusing because what is stored in `first` variables is not what is returned from