{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bc2f1fa7-1431-4c41-a3e0-5e6d42a1f536",
   "metadata": {},
   "source": [
    "## My first notebook for HF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3b1e97c6-6ce6-4c2a-8ce5-9290dc66d7f4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "12 + 12 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e1d7251d-6fbe-47f5-bb4d-afa11d0f9e4f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:CiGi]",
   "language": "python",
   "name": "conda-env-CiGi-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}