methane

"""Flask extension utility."""

from flask.sessions import SessionInterface, SessionMixin
from werkzeug.contrib.cache import MemcachedCache

import memcache  # Use https://code.launchpad.net/~songofacandy/python-memcached/mixin-threading

def setup_cache(app):
    """
    Setup ``app.cache``.

kohlmeier

#!/usr/bin/env python

from numpy import asmatrix, asarray, ones, zeros, mean, sum, arange, prod, dot, loadtxt
from numpy.random import random, randint
import pickle

MISSING_VALUE = -1 # a constant I will use to denote missing integer values

def impute_hidden_node(E, I, theta, sample_hidden):

meyer9

import struct
print( 8 * struct.calcsize("P"))
import pygame
from pygame import *
from player import Player
controls=[False, False, False, False]
screen = pygame.display.set_mode((640, 400))
running = 1
player=Player("player.png", [100,150])
while running:

afair

Hey! I saw this has been indexed by the search engines. It is a first draft of a post I ended up publishing on my blog at: Scaling PostgreSQL With Pgpool and PgBouncer

Thanks for stopping by!

PostgreSQL and Pgpool Architecture

mplewis

Flask + uWSGI + nginx Primer

I've been having trouble with serving a Flask app via uWSGI and nginx, so I thought I'd put together some of the basics to help out others.

How this shit works

• Flask is managed by uWSGI.
• uWSGI talks to nginx.

gruber

#!/usr/bin/env perl
#
# http://daringfireball.net/2007/03/javascript_bookmarklet_builder

use strict;
use warnings;
use URI::Escape qw(uri_escape_utf8);
use open  IO  => ":utf8",		# UTF8 by default
		  ":std";				# Apply to STDIN/STDOUT/STDERR

codekk

#!/usr/bin/env perl
#
# http://daringfireball.net/2007/03/javascript_bookmarklet_builder

use strict;
use warnings;
use URI::Escape qw(uri_escape_utf8);
use open  IO  => ":utf8",		# UTF8 by default
		  ":std";				# Apply to STDIN/STDOUT/STDERR

msund

{
 "metadata": {
  "name": "Three new matplotlib plots"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

ericjang

TensorFlow development environment on Windows using Docker

Here are instructions to set up TensorFlow dev environment on Docker if you are running Windows, and configure it so that you can access Jupyter Notebook from within the VM + edit files in your text editor of choice on your Windows machine.

Installation

First, install https://www.docker.com/docker-toolbox

Since this is Windows, creating the Docker group "docker" is not necessary.

bearfrieze

Comprehensions in Python the Jedi way

by Bjørn Friese

Beautiful is better than ugly. Explicit is better than implicit.

-- The Zen of Python

I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.