nonamenix

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nonamenix

# https://github.com/ipython/ipython/issues/1527/

import sys, time
try:
    import IPython
    clear_output = IPython.core.display.clear_output
except:
    IPython = None

class ProgressBar:

nonamenix

#!/bin/bash
echo $0: Creating virtual environment
virtualenv_name = ${1:-<myenv>}
virtualenv --prompt="$virtualenv_name" ./env

mkdir ./logs
mkdir ./pids
mkdir ./db
mkdir ./static_content
mkdir ./static_content/media

nonamenix

Config {
      font = "xft:DejaVu Sans Mono:size=10:bold:antialias=true"
    , bgColor = "#balck"
    , fgColor = "grey"
    , border = NoBorder
    , borderColor = "black"
    , lowerOnStart = True
    -- , position = Static { xpos = 1280, ypos = 0, width = 230, height = 20 }
    , position = TopW R 15
    , commands = [ 

nonamenix

zip = (pairs) ->
  dict = {}
  dict[key] = value for [key, value] in pairs
  dict
  
# Example 
zip ([el, el * el] for el in [4..8]) # {4:16, 5:25, 6:36, 7:49, 8:64}

nonamenix

from lxml import html

class User(object):
    def __init__(self, username):
        self.username = username
        
    def achievements(self):
        try:
            page = html.parse(user_achievements_url %{'username':self.username})
        except IOError:

nonamenix

#!/usr/bin/python
"""
Original post: http://thenextweb.com/shareables/2016/01/31/frustrated-comcast-customer-sets-up-bot-to-tweet-complaints-every-time-internet-speed-drops/ 
"""
import os
import sys
import csv
import datetime
import time
import twitter

nonamenix

from aiotg import Bot, aiohttp

from utils import html_decode

bot = Bot(api_token="***")

advice_api_url = "http://fucking-great-advice.ru/api/{}"
sound_url = 'http://fucking-great-advice.ru/files/sounds/{}'  # sound_9.MP3

nonamenix

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""Simple async crawler/callback queue based on gevent."""

import traceback
import logging
import httplib2

import gevent

nonamenix

Общие сведения о нейронных сетях.
Строение нейронных сетей.
Описание основных функций активации.
Архитектура однослойных НС.
Архитектура многослойных НС.
Правило обучения Хебба.
Правило обучения Розенблатта.
Правило обучения Уидроу-Хоффа.
Многослойный персептрон.
Алгоритм обратного распространения ошибки.