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   "source": [
    "# Instalación de librerías Python adidicionales  \n",
    "\n",
    "**Charles Escobar - 2025**\n",
    "\n",
    "Las siquientes librerías pueden ser útiles a lo largo de sus cursos, por lo que de acuerdo a su necesidad se recomienda su instalación.\n",
    "\n",
    "* Todos los cursos deberían instalar la sección \"0\" y la sección \"1\"\n",
    "* Biología computacional debería instalar la sección \"2\"\n",
    "* Ciencia de datos debería instalar la sección \"3\" y Biología Computacional podría hacerlo bajo demanda\n",
    "* Para poder exportar las libretas a formato PDF a través de Latex, ejecute en un terminal la sección 5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49d476cd-c597-45f2-9969-61634b0294d5",
   "metadata": {},
   "source": [
    "Nombre del alumno:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "757b02cb-c671-4059-8bdf-c91ac1cdea5a",
   "metadata": {},
   "source": [
    "Escriba aquí su nombre"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78d7ae93",
   "metadata": {},
   "source": [
    "## 0. Actualización del instalador pip:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e0ff6eda",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    " pip install --upgrade pip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "216b8206-9b56-4b8d-bd6d-5d0b801cba8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip uninstall SeqUtils -y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "78bc7cf5-2f47-4c4e-a67a-71e0f86c2400",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip --version"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a38eefc",
   "metadata": {},
   "source": [
    "## 1.  Librerías generales:\n",
    "### 1.1 Librería pandas para el manejo de dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "68bc8249",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "115e7214",
   "metadata": {},
   "source": [
    "### 1.2 Librerías para graficación:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0fe3e13d",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47e4fe60",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0393c71",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install graphviz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "400f0387",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install pydot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "294a08cb",
   "metadata": {},
   "source": [
    "### 1.3 Librería para análisis estadístico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0cb09a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install statsmodels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "787dfd8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install pingouin"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5a27b78",
   "metadata": {},
   "source": [
    "### 1.4 Librería para interactuar con las rutas de los sistemas operativos\n",
    "https://docs.python.org/es/3.8/library/pathlib.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "900bfe0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install pathlib"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c4c056f",
   "metadata": {},
   "source": [
    "## 2. Librerías para biología computacional  \n",
    "https://biopython.org/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9f63e0a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install biopython"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c400dff6",
   "metadata": {},
   "source": [
    "## 3. Librerías para aprendizaje automático"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f7d35da",
   "metadata": {},
   "source": [
    "### 3.1 scikit, herramienta simple para análisis predictivo de datos  \n",
    "https://scikit-learn.org/stable/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e74a47eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install scikit-learn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3f3f338b",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install scikit-image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cf71965",
   "metadata": {},
   "source": [
    "### 3.2 mlxted para modelos de aprendizaje\n",
    "http://rasbt.github.io/mlxtend/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a067477e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install mlxtend"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2449878",
   "metadata": {},
   "source": [
    "### 3.3 openpyxl para leer y escribir archivos Excel (R) 2010\n",
    "https://openpyxl.readthedocs.io/en/stable/  \n",
    "https://www.askpython.com/python-modules/xlrd-module"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1bf33a2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install openpyxl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70824a26",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install xlrd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38703f75",
   "metadata": {},
   "source": [
    "### 3.4 Herramienta para el procesamiento de lenguaje natural"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a5d5059",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install nltk"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f7253ca",
   "metadata": {},
   "source": [
    "### 3.5 Herramienta para asociación (Aprendizaje no supervisado)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "585dbaaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install apyori"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f15a5dcb",
   "metadata": {},
   "source": [
    "### 3.6 Librerías para redes neuronales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f464a62",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install tensorflow"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11d7b039",
   "metadata": {},
   "source": [
    "## 4 Herramienta para Big Data con Spark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a79fd38",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install pyspark"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28c123cd",
   "metadata": {},
   "source": [
    "## 5. Exportar los cuadernos a PDF vía LaTEX\n",
    "\n",
    "Abra un terminal y ejecute las siguientes instrucciones:\n",
    "```\n",
    "sudo apt-get install texlive-xetex\n",
    "sudo apt-get install texlive-fonts-recommended\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d20f0300-e1ab-4de8-8eeb-12ccabdea67c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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