lvxejay

// https://stackoverflow.com/questions/10750057/how-to-print-out-the-contents-of-a-vector/11335634#11335634

#include <iostream>
#include <algorithm> // for copy
#include <iterator> // for ostream_iterator
#include <vector>

int main() {
    /* Set up vector to hold chars a-z */
    std::vector<char> path;

jakirkham

import ctypes
import mmap
import os
import stat
import sys


try:
    unicode
except NameError:

vignesh0025-zz

Run:
uname -r

Note this: 
*default*/*desktop*/*pae*

Add repo:
zypper ar -f -n packman http://ftp.gwdg.de/pub/linux/misc/packman/suse/openSUSE_Tumbleweed/pacman.repo

for default: 

Jekis

#!/bin/bash

function echo_mem_stat () {
    mem_total="$(free | grep 'Mem:' | awk '{print $2}')"
    free_mem="$(free | grep 'Mem:'  | awk '{print $7}')"
    mem_percentage=$(($free_mem * 100 / $mem_total))
    swap_total="$(free | grep 'Swap:' | awk '{print $2}')"
    used_swap="$(free | grep 'Swap:' | awk '{print $3}')"
    swap_percentage=$(($used_swap * 100 / $swap_total))

alexlee-gk

#Install blender as a module with python 3.5 and pyenv

Tested on Ubuntu 14.04.

Setting up a new python environment using pyenv

Follow instructions from here.

Installing boost

Follow instructions from here.

dertom95

# ##### BEGIN GPL LICENSE BLOCK #####
#
#  This program is free software; you can redistribute it and/or
#  modify it under the terms of the GNU General Public License
#  as published by the Free Software Foundation; either version 2
#  of the License, or (at your option) any later version.
#
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

GaelVaroquaux

Cython example of exposing C-computed arrays in Python without data copies

The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.

The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy