menshikh-iv

brentvatne

• Google Play: https://play.google.com/store/apps/details?id=host.exp.exponent&referrer=www
• Apple App Store: https://itunes.apple.com/app/apple-store/id982107779?pt=17102800&ct=www&mt=8

akimboyko

#time "on"
#load "Bootstrap.fsx"

open System
open Akka.Actor
open Akka.Configuration
open Akka.FSharp
open Akka.TestKit

// #Using Actor

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:

hrldcpr

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

kesor

from django.core.exceptions import MiddlewareNotUsed
from django.conf import settings
import cProfile
import pstats
import marshal
from cStringIO import StringIO

class ProfileMiddleware(object):
    def __init__(self):
        if not settings.DEBUG:

blackrobot

"""
Here's my sample Django settings for a project I recently did. Visit http://damonjablons.wordpress.com to see the explanation.
"""

import os
import socket

# Set DEBUG = True if on the production server
if socket.gethostname() == 'your.domain.com':
    DEBUG = False