{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "84f0a672-b8bb-4ed8-a506-4631a8c85455",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from lmfit.models import ExponentialModel, LinearModel\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "960ef0e0-eb74-40ae-9e83-1fd01f48a28b",
   "metadata": {},
   "source": [
    "## esercizio sulla regressione:\n",
    "1. caricare i dati in regression.csv\n",
    "2. farne un grafico, per esempio usando la funzione scatter\n",
    "3. fare una regressione con un modello somma di un esponenziale e un lineare\n",
    "4. fare un grafico dei punti originali e del fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff59d52f-1c3f-44fa-8605-0e2f58932d99",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac1f9c69-5ba5-4802-a228-a7928031a114",
   "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": "3.13.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
