MCMXCIII

import java.util.*;

import java.util.StringTokenizer;
 
public class NameLab {
    public static void main(String a[]){
        Scanner sc = new Scanner(System.in);
        System.out.println("Enter your last name.");
        String lastName = sc.nextLine();
        System.out.println("Followed by your first and middle names.");

MCMXCIII

# To run this file you will need to open Powershell as administrator and first run:
# Set-ExecutionPolicy Unrestricted
# Then source this script by running:
# . .\install_python.ps1

$save_dir=Resolve-Path ~/Downloads
$project_dir = "C:\Projects"
$virtualenv_dir = $project_dir + "\virtualenvs"

$client = New-Object System.Net.WebClient

MCMXCIII

#!/usr/bin/env python
#
# Hi There!
# You may be wondering what this giant blob of binary data here is, you might
# even be worried that we're up to something nefarious (good for you for being
# paranoid!). This is a base85 encoding of a zip file, this zip file contains
# an entire copy of pip.
#
# Pip is a thing that installs packages, pip itself is a package that someone
# might want to install, especially if they're looking to run this get-pip.py

MCMXCIII

#!/usr/bin/env python
#
# Hi There!
# You may be wondering what this giant blob of binary data here is, you might
# even be worried that we're up to something nefarious good for you for being
# paranoid This is a base85 encoding of a zip file, this zip file contains
# an entire copy of pip.
#
# Pip is a thing that installs packages, pip itself is a package that someone
# might want to install, especially if they're looking to run this get-pip.py

MCMXCIII

Installation

Install composer locally (current user only):

wget -O - https://gist.github.com/EmpireWorld/1dd5f59566e186907f99dc16badc382a/raw/install-composer-local.sh | bash

Install composer globally (all users):

MCMXCIII

import pandas as pd
import numpy as np
import mathplotlib.pyploy as plt
immport seaborn as seabornInstance.model_selection 
from sklearn import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn iport metrics
%mathplotlib inline

dataset= pd.read_csv("path to csv dataset CLEAN PLEASE-DEFINE VARS")

MCMXCIII

#FOR MULTILINES
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sasbornInstance
from sklearn.model_selection

import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn import metrixcs

MCMXCIII

#Moving large groups of users to a group
#Just edit where the CSV is going to be and make sure to include the header of the list of users as  "email address"

Import-Module AzureAD

#Connects to your Office365 tenant
#This will prompt for credentials
Connect-AzureAD
#Link the csv file to read from.(Please use the exact path.)
$csvPath = "C:\"

MCMXCIII

#Moving large groups of users to a group
#Just edit where the CSV is going to be and make sure to include the header of the list of users as  "emailAddress"
#The fields you have to change are "$csvPath" to the folder with the csv
#and the "displayname -eq "Name of group" "

Import-Module AzureAD

#Connects to your Office365 tenant
Connect-AzureAD

MCMXCIII

package com.example.test;
import com.example.test.R;

import androidx.appcompat.app.AppCompatActivity;

import android.R;
import android.os.Bundle;

import androidx.appcompat.app.AppCompatActivity;
import android.support.v7.app.AppCompatActivity;