montali

class LinkedListNode:
    def __init__(self, value=None):
        self.value = value
        self.next = None

    def __repr__(self) -> str:
        return str(self.value)


class Stack:

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import datetime

birthdays = {
    "Simmy": datetime.date(2021, 10, 1),
    "Mike": datetime.date(2021, 9, 9),
    "Isa": datetime.date(2021, 10, 6),
    "Ava": datetime.date(2021, 12, 29),
    "Wanik": datetime.date(2021, 2, 27),
    "Riley": datetime.date(2021, 2, 3),
    "Evan": datetime.date(2021, 10, 24),

montali

• Running Apache Spark on DigitalOcean

• To run Apache Spark on DO, first create a Ubuntu LTS droplet.

• Install Python and Java:

  sudo apt update && sudo apt install -y openjdk-8-jdk-headless python
  

• Download the Spark package:

montali

tell application "Finder" to close every window

montali

cb17089 - Simone Montali, 3 minutes ago : Added artisti ACF
c47d560 - Simone Montali, 17 minutes ago : Added newline
cf159e6 - Simone Montali, 27 minutes ago : Added ACFG for about
61ceefa - Simone Montali, 2 hours ago : Fixed artist gallery bug
8170ec0 - Simone Montali, 25 hours ago : T'APPOSTO
2f5b72f - Simone Montali, 25 hours ago : Apposto
a884263 - Simone Montali, 25 hours ago : pls work
f509b17 - Simone Montali, 25 hours ago : Description sstill not working
7a3b1fb - Simone Montali, 25 hours ago : Artist gallery ahd a bug
81d414e - Simone Montali, 2 days ago : Added description

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from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.firefox.options import Options
from telegram import ParseMode
from telegram.ext import Updater, CommandHandler
from time import sleep, time

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import pandas as pd
import numpy as np
from prophet import Prophet
from art import *
import NelderMead


# We first import the historical data from CSV
historical_data = pd.read_csv('all_stocks_5yr.csv')
historical_data = historical_data.dropna()

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import numpy as np


class InitialPointShapeException(Exception):
    pass


class NoSimplexDefinedException(Exception):
    pass

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#!/usr/bin/env bash
source /opt/anaconda3/etc/profile.d/conda.sh
conda activate my_env
conda create --name $1 python=3.9
conda activate $1
conda install -c anaconda ipykernel
python -m ipykernel install --user --name=$1

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{
  "terminal.integrated.fontFamily": "Meslo LG M for Powerline",
  "editor.suggestSelection": "first",
  "vsintellicode.modify.editor.suggestSelection": "automaticallyOverrodeDefaultValue",
  "workbench.iconTheme": "Monokai Pro Icons",
  "python.jediEnabled": false,
  "files.exclude": {
    "**/.classpath": true,
    "**/.project": true,
    "**/.settings": true,