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Orthodox C++

What is Orthodox C++?

Orthodox C++ (sometimes referred as C+) is minimal subset of C++ that improves C, but avoids all unnecessary things from so called Modern C++. It's exactly opposite of what Modern C++ suppose to be.

Why not Modern C++?

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.

Backing up a GPG private key to a QR code

Use at your own risk! As with any backup method, test out your backup by restoring from it before you trust it.

Install qrcode to generate the QR code:
```
 pip install qrcode
```
Export the key, piping the output to qr, and save this to a png file:

A alternative-NEP on masking and missing values

The principle of this aNEP is to separate the APIs for masking and for missing values, according to

The current implementation of masked arrays
Nathaniel Smith's proposal.

	Below I collected relevant links and papers more or less pertaining to the subject of tetrahedral meshes.
	It's an ever-growing list.

	------------------------------
	Relevant links:

	http://en.wikipedia.org/wiki/Types_of_mesh
	http://en.wikipedia.org/wiki/Tetrahedron
	http://en.wikipedia.org/wiki/Simplicial_complex

	assets
	business
	accounts receivable
	bank
	personal
	accounts receivable
	bank
	cash
	gifts
	online

	#!/usr/bin/env python

	import apscheduler.scheduler
	import daemon.runner
	import os.path
	import sys
	import time

	class Core():
	def __init__(self):

	Latency Comparison Numbers (~2012)
	----------------------------------
	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns 3 us
	Send 1K bytes over 1 Gbps network 10,000 ns 10 us
	Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD

	# https://github.com/matplotlib/matplotlib/issues/881
	# Several of the ColorBrewer maps are "qualitative", meaning
	# they are just a group of colors that can be used together
	# for categories of data. So I remapped Accent to segments
	# instead of continuous:

	# Actually, these should be used with ListedColormap, and
	# the number of colors should depend on the number of
	# categories in the data, with colors removed from the
	# list in a certain order?