ianoxley

#!/usr/bin/env python
#
# Smoke on the water by Deep Purple, for the Lego Mindstorms
# 
# Note frequencies worked out as follows:
# A = 440
# Notes above A = A * (1.059463)^ no. of steps above A
# Notes below A = A * (1.059463)^ -no. of steps below A
#

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

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.

---

bsletten

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

davidgilbertson

const http2 = require('http2');
const fs = require('fs');
const path = require('path');
const zlib = require('zlib');
const brotli = require('brotli'); // npm package

const PORT = 3032;
const BROTLI_QUALITY = 11; // slow, but we're caching so who cares
const STATIC_DIRECTORY = path.resolve(__dirname, '../dist/');
const cache = {};