- Learn Python the Hard Way - Great introductory course to python and programming
- The Python Guide - After you have a cursory idea of python, this is great
- Code Like a Pythonista: Idiomatic Python - For learning the "pythonic" way of doing things
- Tango with Django - Great intro to building python web applications
- Intro to Flask, TDD, and jQuery
- Selenium's Page Object Pattern for testing websites
- The Python Yield Keyword Explained - Good precursor to the generator tricks
- Incredible guide on Python's __ (underscore) methods - Must read for anyo
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blueprint: | |
name: Wake-up light alarm with sunrise effect | |
description: 'A wake-up light alarm with a brightness and color temperature sunrise | |
effect. Note: Requires date_time_iso sensor in configuration, not manually executable!' | |
domain: automation | |
input: | |
light_entity: light.bedroom_lights | |
name: Wake-up light entity | |
description: 'The light to control. Turning it off during the sunrise will keep | |
it off. Color temperature range is auto-detected.' |
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#New sierpinski fractal animation: | |
#Code is sloppy, I'll probably clean it up later: | |
# coding: utf-8 | |
from images2gif import writeGif | |
from PIL import Image, ImageDraw, ImageChops | |
import console |
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import websocket, thread, time, json, datetime, sys, os | |
def set_exit_handler(func): | |
if os.name == "nt": | |
try: | |
import win32api | |
win32api.SetConsoleCtrlHandler(func, True) | |
except ImportError: | |
version = ".".join(map(str, sys.version_info[:2])) | |
raise Exception("pywin32 not installed for Python " + version) |
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Transactions: | |
504658563f231e71f79312e96da2cc13e779875ac262269b1b8f9f04e527dfc9 | |
a1faf7b6db5bb4ef4a39911ca54152df57758e128cd19fbf16178aea59e06c87 | |
b1346f1ab63dc90cb592028e1f7283f02b54e46afb35b9145ad91ac2a55877be | |
e61458c302d75b8e0925d4bb0da5466c0a76d60dce506cc766b2d3f160b1d0a5 | |
Addresses: | |
1BwJgbMKb7nz4GZ3uTDTbpovzznTrBbyJE | |
1DnJ4rzDpSG5GJsXNyXE7f17rky8wc1RLT | |
1Q6M9Vyuv5RyeuqpgJfCUCWrM2yrSb45BD |
More later...
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''' | |
Just to illustrate idea on how I believe the maximum block size should be determined. | |
My idea stems from a simple scalability metric that affects real users and the desire to use Bitcoin: | |
Waiting times to get your transactions confirmed on the blockchain. | |
Anything past 45mins-1 hour should be unnacceptable. | |
Initially I wanted to measure the mean time for the transactions in blocks to go from being sent by the user | |
(initial broadcast into mempools) until the transaction was effectively | |
confirmed on the blockchain, say for 2 blocks (acceptable 15~20mins) |
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#!/usr/bin/python ## JORDAN arithmetic (OLD) rather than Jacobian ## ## from .py2specials import * from .py3specials import * import binascii import hashlib import re import sys import os import base64 import time import random import hmac from bitcoin.ripemd import * # Elliptic curve parameters (secp256k1) P = 2**256 - 2**32 - 977 N = 115792089237316195423570985008687907852837564279074904382605163141518161494337 A = 0 B = 7 Gx = 55066263022277343669578718895168534326250603453777594175500187360389116729240 Gy = 32670510020758816978083085130507043184471273380659243275938904335757337482424 G = (Gx, Gy) def change_curve(p, n, a, b, gx, gy): global P, N, A, B, Gx, Gy, G P, N, A, B, Gx, Gy = p, n, a, b, gx, gy G = (Gx, Gy) def getG(): return G # Extended Euclidean Algorithm def inv(a, n): lm, hm = 1, 0 low, high = a % n, n while low > 1: r = high//low nm, new = hm-lm*r, high-low*r lm, low, hm, high = nm, new, lm, low return lm % n # JSON access |
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あいこくしん | |
あいさつ | |
あいだ | |
あおぞら | |
あかちゃん | |
あきる | |
あけがた | |
あける | |
あこがれる | |
あさい |
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https://torrentz.eu/0a1d873e347ae64b70b9ff2c7e9e5f29c66534cb |
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