cpuguy83

package main

import (
	"context"
	"fmt"
	"io/ioutil"
	"os"

	"github.com/containerd/containerd/content/local"
	"github.com/containerd/containerd/images"

donvito

version: "3.3"
services:

  elasticsearch:
    image: 'docker.elastic.co/elasticsearch/elasticsearch:5.6.1'
    ports:
      - "9200:9200"
      - "9300:9300"
    volumes:
      - elasticsearchvol:/usr/share/elasticsearch/data 

m8urnett

cmder
D:PAI(A;OICI;FA;;;SY)(A;OICI;0x1200a9;;;AU)(A;OICI;FA;;;BA)S:AI(ML;OICI;NW;;;ME)
cmder\config\.history
D:AI(A;;0x1200af;;;AU)(A;ID;FA;;;SY)(A;ID;0x1200a9;;;AU)(A;ID;FA;;;BA)S:AI(ML;;NW;;;ME)
cmder\config\ConEmu.xml
D:AI(A;ID;FA;;;SY)(A;ID;0x1200a9;;;AU)(A;ID;FA;;;BA)S:AI(ML;ID;NW;;;HI)
cmder\config\settings
D:AI(A;;FA;;;AU)(A;ID;FA;;;SY)(A;ID;0x1200a9;;;AU)(A;ID;FA;;;BA)S:AI(ML;ID;NW;;;HI)
cmder\config\user-ConEmu.xml
D:AI(A;;FA;;;S-1-5-21-3296739879-1852959184-2879946361-1107)(A;ID;FA;;;SY)(A;ID;0x1200a9;;;AU)(A;ID;FA;;;BA)S:AI(ML;;NW;;;ME)

acolyer

A collection of The Morning Paper posts relating to containers, operating systems etc.

In order of first appearance in The Morning Paper.

• On the duality of operating system structures
• Why threads are a bad idea
• Why events are a bad idea
• Unikernels: library operating systems for the cloud
• The scalable commutativity rule: designing scalable software for multicore processors
• Jitsu: just-in time summoning of unikernels

LauraCapurro

# Add "contrib non-free" to /etc/apt/sources.list

# Example:
deb http://<some-host>/debian/ stretch main contrib non-free

# Then:

apt-get install update && apt-get install -y firmware-realtek firmware-linux-nonfree

# Essentials

kripken

int doubler(int x) {
  return 2 * x;
}

nrollr

# UPDATED 17 February 2019
# Redirect all HTTP traffic to HTTPS
server {
   listen 80;
   listen [::]:80; 	
   server_name www.domain.com domain.com;
   return 301 https://$host$request_uri;
}

# SSL configuration

Zulko

"""
Model of a Zombie outbreak in France, starting in Grenoble

This is a rewrite from this blog post by Max Berrgren:

http://maxberggren.github.io/2014/11/27/model-of-a-zombie-outbreak/

with a different country, a slightly different model, and different
libraries. The map of population density is taken from Wikimedia Commons

mangecoeur

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:

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue: