maksymx

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maksymx

var ParallaxManager, ParallaxPart;

ParallaxPart = (function() {
  function ParallaxPart(el) {
    this.el = el;
    this.speed = parseFloat(this.el.getAttribute('data-parallax-speed'));
    this.maxScroll = parseInt(this.el.getAttribute('data-max-scroll'));
  }

  ParallaxPart.prototype.update = function(scrollY) {

maksymx

#!/usr/bin/env python

class Hello(object):
    singleton = None

    def __new__(clz):
        if not clz.singleton:
            clz.singleton = object.__new__(clz)
        return clz.singleton

maksymx

Python. SOAP services

SOAP services. Overview

Evaluating Tools for Developing with SOAP in Python. Doug Hellmann - http://doughellmann.com/2009/09/01/evaluating-tools-for-developing-with-soap-in-python.html

What's the best SOAP client library for Python, and where is the documentation for it? - http://stackoverflow.com/questions/206154/whats-the-best-soap-client-library-for-python-and-where-is-the-documentation-f

What's the best SOAP library for Python 3.x? - http://stackoverflow.com/questions/7817303/whats-the-best-soap-library-for-python-3-x

maksymx

// select db
use test;
// create a user with db role(s) (http://docs.mongodb.org/manual/reference/built-in-roles/)
db.createUser( { user: "test", pwd: "changeit", roles: [ { role: "dbOwner", db: "test" } ] } );

maksymx

#!/usr/bin/env python
# python subnet.py 200.100.33.65/26

import sys

# Get address string and CIDR string from command line
(addrString, cidrString) = sys.argv[1].split('/')

# Split address into octets and turn CIDR into int
addr = addrString.split('.')

maksymx

@namespace url(http://www.mozilla.org/keymaster/gatekeeper/there.is.only.xul);

/* Set Font Size In Folder Pane */

#folderTree >treechildren::-moz-tree-cell-text {
  /*font-family: Lucida Sans !important;*/
  font-size: 12pt !important; }

/* Set Font Size In Thread Pane */

maksymx

from numpy import exp, array, random, dot


class NeuronLayer():
    def __init__(self, number_of_neurons, number_of_inputs_per_neuron):
        self.synaptic_weights = 2 * random.random((number_of_inputs_per_neuron, number_of_neurons)) - 1


class NeuralNetwork():
    def __init__(self, layer1, layer2):

maksymx

import urllib2
from multiprocessing.dummy import Pool as ThreadPool

urls = [
	'http://www.python.org',
	'http://www.python.org/about/',
	'http://www.onlamp.com/pub/a/python/2003/04/17/metaclasses.html',
	'http://www.python.org/doc/',
	'http://www.python.org/download/',
	'http://www.python.org/getit/',

maksymx

# Something in lines of http://stackoverflow.com/questions/348630/how-can-i-download-all-emails-with-attachments-from-gmail
# Make sure you have IMAP enabled in your gmail settings.
# Right now it won't download same file name twice even if their contents are different.

import email
import getpass, imaplib
import os
import sys

detach_dir = '.'