ak64th

Below is the list of modern JS frameworks and almost frameworks – React, Vue, Angular, Ember and others.

All files were downloaded from https://cdnjs.com and named accordingly. Output from ls command is stripped out (irrelevant stuff)

As-is (minified)

$ ls -lhS
566K Jan 4 22:03 angular2.min.js

What forces layout / reflow

All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.

Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.

Element APIs

Getting box metrics

elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent

Playing with Orbit.js and Ember.js

This presenation is an exploration of rolling your own data persistence for and Ember.js Application

During this discovery I attempt to roll my own data solution. I've selected to use alpha software, Orbit.js. So not also choosing other alpha software at the some time. Not covering es6, broccoli, ember-cli etc.

The exploratory app is based on converting my blog app (uses REST) to use Web sockets with a Node.js backend. I am using some build tools brunch.io also borrowing from tapas-with-ember. The modules in the source code are [CommonJS modules].

	<!DOCTYPE html>
	<html>
	<head>
	<script src="https://unpkg.com/[email protected]/lib/mobx.umd.js"></script>
	<script>
	var MobxDemo = Object.create(HTMLElement.prototype);
	MobxDemo.attachedCallback = function() {
	var state = mobx.observable({
	counter : parseInt(this.getAttribute("counter"))
	})

	"""
	twisted async/await with asyncio reactor and uvloop
	"""

	import asyncio
	import uvloop
	from asyncio.tasks import ensure_future

	try:
	# as per github source the asyncio reactor is intended to be released in future version

	import pandas as pd

	def _map_to_pandas(rdds):
	""" Needs to be here due to pickling issues """
	return [pd.DataFrame(list(rdds))]

	def toPandas(df, n_partitions=None):
	"""
	Returns the contents of `df` as a local `pandas.DataFrame` in a speedy fashion. The DataFrame is
	repartitioned if `n_partitions` is passed.

	import falcon

	app = falcon.API()

	if __name__ == '__main__':
	from wsgiref.simple_server import make_server
	server = make_server('localhost', 8000, app)

	print("Listening on localhost:8000")
	server.serve_forever()

	ssh-keygen -t rsa -b 4096 -m PEM -f jwtRS256.key
	# Don't add passphrase
	openssl rsa -in jwtRS256.key -pubout -outform PEM -out jwtRS256.key.pub
	cat jwtRS256.key
	cat jwtRS256.key.pub

	.sidebar_newsletter_sign_up,
	.sidebar_subscribe,
	.sign-up-form-single,
	.signup-form--header,
	.signup-with-checkboxes,
	.skinny-sign-up,
	.slidedown-newsletter,
	.small-newsletter,
	.social-link-mail,
	.social_newsletter_box,

	# post_loc.txt contains the json you want to post
	# -p means to POST it
	# -H adds an Auth header (could be Basic or Token)
	# -T sets the Content-Type
	# -c is concurrent clients
	# -n is the number of requests to run in the test

	ab -p post_loc.txt -T application/json -H 'Authorization: Token abcd1234' -c 10 -n 2000 http://example.com/api/v1/locations/