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@tirinox
tirinox / my_tee.py
Created Aug 2, 2019
My implementation of itertools.tee function
View my_tee.py
from itertools import tee
def source():
for i in range(5):
print(f'next is {i}')
yield i
View priority_queue.py
import heapq
from collections import namedtuple
Task = namedtuple('Task', 'priority, id, content')
class TaskFlow:
def __init__(self):
self._queue = []
self._id = 0
@tirinox
tirinox / DemoMagic.ipynp
Created Jun 15, 2019
Demo of Jupyter's magic functions
View DemoMagic.ipynp
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# нажми здесь shift+enter, чтобы увидеть список магий\n",
"%lsmagic"
View download_music.ipynb
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@tirinox
tirinox / web_screenshot.py
Created May 1, 2019
Make a screenshot of any webpage using Python, Selenium and Chrome
View web_screenshot.py
# 1) pip install selenium
# 2) ChromeDriver: http://chromedriver.chromium.org/downloads
from selenium import webdriver
DRIVER = 'chromedriver'
driver = webdriver.Chrome(DRIVER)
driver.get('https://erugame.ru/') # какой сайт
driver.save_screenshot("screenshot.png")
View btc_generate_address.py
import hashlib
import ecdsa
import os
from binascii import hexlify
from base58 import b58encode
# Installation:
# pip install base58 ecdsa
# Use that service to make sure that this generator works well:
View brutal_download.py
import socket
import select
from urllib.parse import urlsplit
def brutal_download(url, save_to):
url_components = urlsplit(url)
host = url_components.netloc
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((host, 80))
View sort_operator.py
import operator
class Item:
def __init__(self, name, price, qty):
self.name = name
self.price = price
self.qty = qty
def total_cost(self):
View matmul_demo.py
# это пример показывает применение __matmul__ и __imatmul__ для пользовательских классов
class MyMatrix:
def __init__(self, data):
self.data = data
# для получения элементов матрицы как A[строка, столбец]
def __getitem__(self, pos):
i, j = pos
return self.data[i][j]
View radix_on.py
# this is Radix sort prove of O(n) time complexity
import random
import matplotlib.pyplot as plt
import time
def radix_sort(a_list, radix=10):
max_length_achieved = False
tmp, placement = -1, 1
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