{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2e62a565-70a3-4b06-8aac-92aae20f09ea",
   "metadata": {},
   "source": [
    "# My Second Notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7f98b8f1-ece1-4678-beb7-b19c6c4c4d12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "12 + 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a3ee9ee1-d90c-4bb6-8f9c-9a47aaf722ea",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
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 "nbformat_minor": 5
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