{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e6c55a45-6107-4973-b030-4b767fa89a57",
   "metadata": {},
   "source": [
    "# An interactive introduction to aldsim using jupyter notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40fdd4e5-b52f-4992-a7b0-a326b42d0c7e",
   "metadata": {},
   "source": [
    "We start by importing the module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ce5ee915-e213-406e-b0d5-76c062ac6310",
   "metadata": {},
   "outputs": [],
   "source": [
    "import aldsim as al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9a1b55e7-a468-49b7-a86c-c80483fec14a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ALDideal',\n",
       " 'Precursor',\n",
       " '__builtins__',\n",
       " '__cached__',\n",
       " '__doc__',\n",
       " '__file__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__path__',\n",
       " '__spec__',\n",
       " 'aldmodel',\n",
       " 'chem',\n",
       " 'constants',\n",
       " 'models',\n",
       " 'utils']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(al)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9bcc0570-a797-4502-a0b1-5356f8b6f859",
   "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": "3.12.9"
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