Michael Corrado gaybro8777

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Hi Nicholas,

I saw you tweet about JSX yesterday. It seemed like the discussion devolved pretty quickly but I wanted to share our experience over the last year. I understand your concerns. I've made similar remarks about JSX. When we started using it Planning Center, I led the charge to write React without it. I don't imagine I'd have much to say that you haven't considered but, if it's helpful, here's a pattern that changed my opinion:

The idea that "React is the V in MVC" is disingenuous. It's a good pitch but, for many of us, it feels like in invitation to repeat our history of coupled views. In practice, React is the V and the C. Dan Abramov describes the division as Smart and Dumb Components. At our office, we call them stateless and container components (view-controllers if we're Flux). The idea is pretty simple: components can't

	require 'objspace'
	require 'config/environment'
	require 'fiddle'
	require 'fiddle/import'

	extend Fiddle::Importer
	include Fiddle
	dlload

	typealias "VALUE", "unsigned long"

	<!DOCTYPE html>
	<html>
	<head>
	<script src="http://code.jquery.com/jquery-2.1.1.min.js"></script>
	<meta charset="utf-8">
	<title>JS Bin</title>
	<style id="jsbin-css">
	h3 {margin: 0; font-size: 1em; text-decoration: underline}

	#row {width: 19em; margin: 0 auto}

	# List unique values in a DataFrame column
	df['Column Name'].unique() # Note, `NaN` is included as a unique value. If you just want the number, use `nunique()` which stands
	# for 'number of unique values'; By default, it excludes `NaN`. `.nunique(dropna=False)` will include `NaN` in the count of unique values.

	# To extract a specific column (subset the dataframe), you can use [ ] (brackets) or attribute notation.
	df.height
	df['height']
	# are same thing!!! (from http://www.stephaniehicks.com/learnPython/pages/pandas.html
	# -or-
	# http://www.datacarpentry.org/python-ecology-lesson/02-index-slice-subset/)

	.PHONY:all
	JVARKIT_HOME?=${HOME}/src/jvarkit-git/dist

	all: graph.png

	graph.png : biostar251002.tsv script.gnuplot
	grep -v YEAR $< \| awk -F ' ' '{printf("%s\t%s\n",$$4,$$2);}'\| tr " " "_" \| grep -v null \|\
	sed 's/$$/ 1/'\| ${HOME}/src/cmd-utils/src/yxv2table -a sum -n 0 \| sed 's/^#/YEAR/' > graph.tsv && \
	gnuplot script.gnuplot
	rm -f graph.tsv

	/****************************************/
	/* Example of using JSON libname engine */
	/* for discovery, then with a JSON map */
	/* Copyright 2016 SAS Institute */
	/* written by Chris Hemedinger */
	/* http://blogs.sas.com/sasdummy */
	/****************************************/

	/* split URL for readability */
	%let url1=http://communities.sas.com/kntur85557/restapi/vc/categories/id/bi/topics/recent;