Xintong Wu xt-dev

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!

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	# Author: Kyle Kastner
	# License: BSD 3-Clause
	# Implementing http://mnemstudio.org/path-finding-q-learning-tutorial.htm
	# Q-learning formula from http://sarvagyavaish.github.io/FlappyBirdRL/
	# Visualization based on code from Gael Varoquaux gael.varoquaux@normalesup.org
	# http://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html

	import numpy as np
	import matplotlib.pyplot as plt
	from matplotlib.collections import LineCollection

	// Get all users
	var url = "http://localhost:8080/api/v1/users";
	var xhr = new XMLHttpRequest()
	xhr.open('GET', url, true)
	xhr.onload = function () {
	var users = JSON.parse(xhr.responseText);
	if (xhr.readyState == 4 && xhr.status == "200") {
	console.table(users);
	} else {
	console.error(users);