KataModulo0.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ejercicio: Crea y ejecuta tu notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Manual de la Nave\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install ipywidgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "ignition = widgets.ToggleButton(\n",
    "    value=False,\n",
    "    description='Iniciar Launch',\n",
    "    button_style='success',\n",
    "    tooltip='Engage your Launch',\n",
    "    icon='rocket'\n",
    ")\n",
    "\n",
    "output = widgets.Output()\n",
    "\n",
    "display(ignition, output)\n",
    "\n",
    "def on_value_change(change):\n",
    "    with output:\n",
    "        if change['new'] == True:\n",
    "            print(\"Despegue iniciado!\")\n",
    "        else:   \n",
    "            print(\"Despegue cancelado\")\n",
    "\n",
    "ignition.observe(on_value_change, names='value')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ejercicio 2: Usar comandos avanzados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install matplotlib\n",
    "!pip install numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Niveles de oxígeno\n",
    "\n",
    "Muestra diez minutos de niveles de oxígeno en tu nave."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "data = np.random.default_rng(12345)\n",
    "oxy_nums = data.integers(low=0, high=10, size=10)\n",
    "\n",
    "plt.bar(range(len(oxy_nums)), oxy_nums)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Velocidad de la nave\n",
    "\n",
    "Muestra los segundos necesarios para pasar de 0 a 11200 metros por segundo, dada la aceleración de la nave en metros por segundo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "endVelocity = 11200\n",
    "startVelocity = 0\n",
    "acceleration = 9.8\n",
    "\n",
    "time = (endVelocity - startVelocity) / acceleration\n",
    "\n",
    "print(\"Tiempo para alcanzar la velocidad deseada\", time)"
   ]
  }
 ],
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  "interpreter": {
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  "kernelspec": {
   "display_name": "Python 3.10.2 64-bit",
   "language": "python",
   "name": "python3"
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  "language_info": {
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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