{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6d6b7b0-4288-45a6-8bcb-628feed798c8",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid character '（' (U+FF08) (3450853187.py, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  Cell \u001b[1;32mIn[3], line 1\u001b[1;36m\u001b[0m\n\u001b[1;33m    print（\"Jupyter编程\")\u001b[0m\n\u001b[1;37m         ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid character '（' (U+FF08)\n"
     ]
    }
   ],
   "source": [
    "print（\"Jupyter编程\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f60102d0-632b-4427-8aee-dbdbcd57105a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d8b3c96b-0166-4bce-8a95-47f62ce5e761",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jupyter编程\n"
     ]
    }
   ],
   "source": [
    "print(\"Jupyter编程\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08afe4af-bb14-43c8-8014-3d2e9b35ed02",
   "metadata": {},
   "source": [
    "$$a+b$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b80d7fa-9bcb-4565-b339-bdff4cdf5395",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}