ReeceL3

import socket
import dns.resolver
from dns.exception import Timeout, DNSException

def main():
    while True:
        domain = input("Enter a domain name (example: github.com): ").strip()
        if not domain:
            print("Please enter a non-empty domain name.")
            continue

ReeceL3

import sys
import mysql.connector
from mysql.connector import Error


DB_CONFIG = {
    "host": "localhost",
    "port": 3306,

ReeceL3

#include <stdio.h>
#include <string.h>
#include <stdbool.h>

typedef enum {
    BROWSING,
    TRIAL_STARTED,
    PAYMENT_SETUP,
    SUBSCRIBED,
    CANCELED

ReeceL3

#!/usr/bin/env python3
import sys
import subprocess
import platform
import time
import socket


# -----------------------------
# Utility: IP <-> Integer

ReeceL3

import pygame
import random
import sys
import math

# ── Constants ──────────────────────────────────────────────────────────────────
CELL      = 36          # size of one grid cell in pixels (bigger = bigger snake)
COLS      = 50          # number of columns
ROWS      = 38          # number of rows
WIDTH     = COLS * CELL

ReeceL3

// Pin assignments
const int RED_PIN = 13;
const int YELLOW_PIN = 12;
const int GREEN_PIN = 11;

void setup() {
  pinMode(RED_PIN, OUTPUT);
  pinMode(YELLOW_PIN, OUTPUT);
  pinMode(GREEN_PIN, OUTPUT);

ReeceL3

#!/usr/bin/env python3

import sys
import mysql.connector
from mysql.connector import Error

# ---------- CONFIGURE THESE FOR YOUR DOCKER MYSQL ----------
DB_CONFIG = {
    "host": "localhost",
    "port": 3306,

ReeceL3

import matplotlib.pyplot as plt
import pandas as pd

# Load CSV
df = pd.read_csv("zombie_outbreak.csv")

# Extract columns
days = df["days"]
zombies = df["total_zombies"]

ReeceL3

import pandas as pd

my_collection = {
    'player_num': [10, 7, 10, 10, 10, 11, 7],
    'first_name': ['Lionel', 'Cristiano', 'Edson', 'Neymar', 'Zlatan', 'Mohamed', 'George'],
    'last_name': ['Messi', 'Ronaldo', 'Pele', 'Jr', 'Ibrahimovic', 'Salah', 'Best'],
    'Goals': [672, 701, 767, 436, 511, 331, 179],
    'Reds': [3, 11, 0, 8, 9, 0, 8],
    'Yellows':[85, 129, 2, 97, 94, 18, 35],
    'date_joined': ['2004-10-16', '2002-10-07', '1956-09-07', '2009-03-07', '1999-03-31', '2010-05-03', '1963-09-14'],

ReeceL3

from transformers import pipeline

# Load text generation pipeline
generator = pipeline("text-generation", model="gpt2")

def generate_text(prompt, max_length=120):
    result = generator(
        prompt,
        max_length=max_length,
        num_return_sequences=1,