{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "

Ejemplo 1

\n", "\n", "\n", "Probando la funcion insert() en un ciclo for,con listas:
\n", "lista[-1]=2
\n", "lista[-2]=1\n", "\n", "\n", "\n", "cuando aplicamos el metodo insert(posición,valor) a la lista de objetos,la posicion que elegimos es donde se va insertar,valga la redundancia el valor,y el objeto que esta en esa posición se deplaza a la derecha.\n", "\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "la lista es: [0, 0, 0, 2]\n" ] } ], "source": [ "lista=[0,2]\n", "\n", "for i in range(2):\n", " \n", " lista.insert(-1,lista[i])\n", "print(f\"la lista es: {lista}\")\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Ejemplo 2

\n", "argumento posicional: no es nombrado
\n", "argumento nombrado: lleva un identificador con su valor

\n", "Ejemplo:
\n", "suma(a=2,b=1)
\n", "sumar(1,2)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "la suma es: 3\n", "la suma es:16\n" ] } ], "source": [ "#funcion con argumento posicional\n", "def suma(a,b):\n", " suma=a+b\n", " return suma\n", "\n", "print(f\"la suma es: {suma(1,2)}\")\n", "#funcion con argumento nombrado\n", "def sumar(a,b):\n", " sumar=a+b\n", " return sumar\n", "print(f\"la suma es:{sumar(b=6,a=10)}\")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Ejemplo 3

\n", "creamos una la variable de tipo list llamada lista,despues definimos una variable listaClon de tipo list vacia.
\n", "Queremos demostrar que tanto listaClon y lista apuntan a la misma posicion de memoria" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1, 6, 7, 'jesus']\n", "[1, 6, 7, 'jesus']\n", "91307592\n", "91307592\n", "apuntan a la misma direccion\n" ] } ], "source": [ "lista=[1,6,7,\"jesus\"]\n", "listaClon=[]#lista vacia\n", "print(lista)\n", "listaClon=lista#ahora ambas apuntan a la misma direccion de memoria\n", "print(listaClon)\n", "#direccion de memoria\n", "print(id(lista))\n", "print(id(listaClon))\n", "#comprobamos de que listaClo n y lista apuntan a la misma direccion de memoria\n", "if lista is listaClon:\n", " print(\"apuntan a la misma direccion\")\n", "else:\n", " print(\"no apuntan a la misma direccion\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Ejemplo 4

\n", " iterando la variable x de tipo lista\n", "valores de x*x = 0 1 4 9 16
\n", "iterardor x = 0 1 2 3 4" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[0, 1, 4, 9, 16]\n", "[0, 1, 4, 9, 16]\n" ] } ], "source": [ "x=[x*x for x in range(5) ]\n", "print(x)\n", "#itera la lista dentro de ella misma\n", "def iterar(x):\n", " lista=x\n", " return lista\n", "print(iterar(x))\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Ejemplo 5

\n", " lista vacia" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[]\n" ] } ], "source": [ "r=[i for i in range(-1,-2)]\n", "print(r)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Ejemplo 6

" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "4\n" ] } ], "source": [ "def fun(ip=2,out=3):\n", " return ip*out\n", "print(fun(out=2))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.7.1 ('base')", "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": "3.7.1" }, "vscode": { "interpreter": { "hash": "8457f10fc8f862e85ececbcd9665f46ce6df121d28d9b187704c2ce95a84e1da" } } }, "nbformat": 4, "nbformat_minor": 2 }