drhanlau

if __name__ == "__main__":
    stock_watcher = Observable()
 
    american_observer = AmericanStockMarket()
    stock_watcher.register(american_observer)
 
    stock_watcher.publish('KLSE Market Update', price='+0.5')

demoray

class MyTask(luigi.Task):
    def complete(self):
        def _get_last(outputs):
            last = 0.0
            for item in outputs:
                if not item.exists():
                    continue
                current = os.path.getmtime(item.path)
                if current > last:
                    last = current

hkage

pytest Cheatsheet

@pytest.fixture

• scope: the scope for which this fixture is shared, one of “function” (default), “class”, “module”, “session”.
• params: an optional list of parameters which will cause multiple invocations of the fixture function and all of the tests using it.
• autouse: if True, the fixture func is activated for all tests that can see it. If False (the default) then an explicit reference is needed to activate the fixture.
• ids: list of string ids each corresponding to the params so that they are part of the test id. If no ids are provided they will be generated automatically from the params.

config.json

{
  "vars": {
    "@gray-base": "#fff",
    "@gray-darker": "lighten(@gray-base, 13.5%)",
    "@gray-dark": "lighten(@gray-base, 20%)",
    "@gray": "lighten(@gray-base, 33.5%)",
    "@gray-light": "lighten(@gray-base, 46.7%)",
    "@gray-lighter": "lighten(@gray-base, 93.5%)",
    "@brand-primary": "darken(#428bca, 6.5%)",
    "@brand-success": "#7bcc3a",

APTy

import two1.lib.bitcoin as bitcoin
from two1.lib.wallet import Wallet

wallet = Wallet()

# Collect public keys
p1_pubkey = wallet.get_payout_public_key()
p2_pubkey = wallet.get_change_public_key()

# Build multisig redeem script

sam-thecoder

def player_1(start_date=None, miss_output=False, miss_plot=False, sleep=False, sleep_time=1, plot=False, output=True, hold_max=1000, withdraw_max=500, withdraw_min=10):
    user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(start_date=start_date)
    #print(user_key)
    prev_predict = day_info[-1]
    miss_colors = ['g']
    while game_active == False:
        #print(day_info[-1])
        if day_info[-1] == 2: #equilavent of 100 i.e. good odds
            #print('first option')
            if invested < 100: #invest 100

dhruvbaldawa

from transitions import Machine


class Payments(models.Model):
    STATES = {
        'started': 'Started',
        'captured': 'Captured',
        'completed': 'Completed',
    }

danielfrg

import re
import json
import luigi
import pandas as pd
from mysolr import Solr
from bs4 import BeautifulSoup


class InputText(luigi.ExternalTask):

samuell

import luigi

class ATask(luigi.Task):

    def output(self):
        return luigi.LocalTarget("atask_output.txt")

    def run(self):
        with self.output().open("w") as outfile:
            outfile.write("Test")

sokol815

QuickAlerts is a Chrome Extension for Tradingview.

• QuickAlerts Extension on the Chrome Webstore
• quickalerts.us
• trello board
• The QuickAlerts Discord

It's features include:

1. Batch import/export of an ever-growing number of alert types
2. Sort alerts alphabetically