bellbind

def import_as(module_name, globals_):
    """__import__ for relative module style.
    usage:
         mod = import_as("..templates.jinja2", globals())
         # it is same as: import ..templates.jinja2 as mod
    """
    level = 0
    for ch in module_name:
        if ch != ".": break
        level += 1

jtriley

#!/usr/bin/env python
import os
import shlex
import struct
import platform
import subprocess
 
 
def get_terminal_size():
    """ getTerminalSize()

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

jiahao

#!/usr/bin/env python

'''
Pure Python implementation of some numerical optimizers

Created on Jan 21, 2011

@author Jiahao Chen
'''

robnyman

(function () {
    // IndexedDB
    var indexedDB = window.indexedDB || window.webkitIndexedDB || window.mozIndexedDB || window.OIndexedDB || window.msIndexedDB,
        IDBTransaction = window.IDBTransaction || window.webkitIDBTransaction || window.OIDBTransaction || window.msIDBTransaction,
        dbVersion = 1.0;

    // Create/open database
    var request = indexedDB.open("elephantFiles", dbVersion),
        db,
        createObjectStore = function (dataBase) {

josiahcarlson

'''

This code is derived from: http://code.activestate.com/recipes/576944/

It was released under the MIT license.

I (Josiah Carlson) have modified it to be correct in more cases, and to report
errors in some error cases.

tommeier

#!/usr/bin/perl
#fetch Gravatars

use strict;
use warnings;

use LWP::Simple;
use Digest::MD5 qw(md5_hex);

my $size       = 90;

irachex

import random

class TreapNode(object):
    def __init__(self, key, data):
        self.key = key
        self.ran = random.random()
        self.size = 1
        self.cnt = 1
        self.data = data
        self.left = None

rduplain

Interactive Debugging in any Python Web Project

Ron DuPlain - PyOhio 2013

Turn this:

mwaterfall

#
# Recursively validates all python files with pyflakes that were modified
# since the last validation, and provides basic stats. Ignores hidden
# directories.
#
# NOTE:
# You should set your favourite version control system to ignore
# the validate.db file that is used to track when which files
# have changed since last validation.
#