{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo running Python in Jupyter notebook\n",
    "In this document, we explore application of Jupyter notebook for running Python scripts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate data and perform calculations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "random_numbers = np.random.rand(100)\n",
    "mean_value = np.mean(random_numbers)\n",
    "\n",
    "print(\"Random numbers:\", random_numbers)\n",
    "print(\"Mean value:\", mean_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(random_numbers, marker='o', linestyle='-', color='b', label='Random Numbers')\n",
    "plt.axhline(y=mean_value, color='r', linestyle='--', label=f'Mean Value: {mean_value:.2f}')\n",
    "plt.title('Plot of 100 Random Numbers')\n",
    "plt.xlabel('Index')\n",
    "plt.ylabel('Value')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  }
 ],
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