springcoil

springcoil

springcoil

class SendEmail(luigi.Task):
    def run(self):
        fromaddr = EMAIL
        toaddr = EMAIL
        msg = MIMEMultipart()
        msg['From'] = fromaddr
        msg['To'] = toaddr
        msg['Subject'] = "Daily Update of Cohorts"
        body = "Here is the cohort update"
        msg.attach(MIMEText(body, 'plain'))

springcoil

object Factorial2 {
  def main(args: Array[String])
  { for (i <- 1 to 30)
    println("Factorial of " + i + ": = " + factorial(i))
}

  def factorial(n: BigInt): BigInt = {
    if (n <= 1)
      1
    else

springcoil

# these modules are needed for the task
import luigi
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders
from dataextract import Manager
import pandas as pd
import json

springcoil

def get_max_profit(stock_prices_yesterday):

    # make sure we have at least 2 prices
    if len(stock_prices_yesterday) < 2:
        raise IndexError('Getting a profit requires at least 2 prices')

    # we'll greedily update min_price and max_profit, so we initialize
    # them to the first price and the first possible profit
    min_price = stock_prices_yesterday[0]
    max_profit = stock_prices_yesterday[1] - stock_prices_yesterday[0]

springcoil

def fizzbuzz(n):

    if n % 3 == 0 and n % 5 == 0:
        return 'FizzBuzz'
    elif n % 3 == 0:
        return 'Fizz'
    elif n % 5 == 0:
        return 'Buzz'
    else:
        return str(n)

springcoil

def fizzBuzz(x:Int) = {
  if (x % 15 == 0)
    "FizzBuzz"
  else if (x % 3 == 0)
    "Fizz"
  else if (x % 5 == 0)
    "Buzz"
  else
    x
}

springcoil

object FizzBuzz {
  def main(args: Array[String]) {
    for (x <- 1 until 100001) {
      if (0 == ((x%3)+(x%5))){
        println("Fizz Buzz");
      } else if (0 == (x%5)){
        println("Buzz");
      } else if (0 == (x%3)){
        println("Fizz");
      } else {

springcoil

import numpy,math
import matplotlib.pyplot as plt
import random as random

random.seed(1)  # set random seed.

# Draw random samples from Salpeter IMF.
# N     ... number of samples.
# alpha ... power-law index.
# M_min ... lower bound of mass interval.