serup

Let's say you're using Ubuntu 13.04 (Raring Ringtail, released in April 2013) and it just went End-of-Life on you, because it's supported for only 6 months, and the deprecated packages are taken down after 12 months.

You'll probably figure this out the hard way. When you run sudo apt-get update, it will eventually report these errors:

Ign http://archive.ubuntu.com raring-updates/universe Sources/DiffIndex
Err http://security.ubuntu.com raring-security/main Sources
  404  Not Found [IP: 91.189.91.15 80]
Err http://security.ubuntu.com raring-security/universe Sources
  404  Not Found [IP: 91.189.91.15 80]

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor:

	#include <atlbase.h>
	#include <atlcom.h>
	#include <atlcomcli.h>
	#include <comdef.h>
	#include <Propvarutil.h>
	#include <shobjidl.h>
	#include <atlsafe.h>
	#include <strsafe.h>
	#pragma comment(lib, "Propsys.lib")

	// This is example from
	// http://vitiy.info/c11-functional-decomposition-easy-way-to-do-aop/
	// by Victor Laskin

	#include <iostream>
	#include <functional>
	#include <map>
	#include <vector>
	#include <memory>
	#include <chrono>

	#include <map>
	#include <vector>

	/**
	* Provides a basic interpolation mechanism in C++ using the STL.
	* Maybe not the fastest or most elegant method, but it works (for
	* linear interpolation!!), and is fast enough for a great deal of
	* purposes. It's also super easy to use, so that's a bonus.
	*/
	class LinearInterpolator {

	<coupling>
	<P algorithm="serial">
	<M name="flow1" type="GROUNDWATER_FLOW" />
	<P algorithm="parallel">
	<M name="compoundA" type="MASS_TRANSPORT" />
	<M name="compoundB" type="MASS_TRANSPORT" />
	</P>
	</P>
	</coupling>

	# The following command works for downloading when using Git for Windows:
	# curl -LOf http://gist.githubusercontent.com/kmorcinek/2710267/raw/.gitignore
	#
	# Download this file using PowerShell v3 under Windows with the following comand:
	# Invoke-WebRequest https://gist.githubusercontent.com/kmorcinek/2710267/raw/ -OutFile .gitignore
	#
	# or wget:
	# wget --no-check-certificate http://gist.githubusercontent.com/kmorcinek/2710267/raw/.gitignore

	# User-specific files