diff --git a/lab_oop.ipynb b/lab_oop.ipynb new file mode 100644 index 0000000..889a901 --- /dev/null +++ b/lab_oop.ipynb @@ -0,0 +1,104 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "644831e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "#LAB_OOP\n", + "\n", + "#EJERCICIO 1\n", + "\n", + "class List:\n", + " def remove_(self, integer_list, values_list):\n", + " list=[]\n", + " for num in integer_list:\n", + " if num not in values_list:\n", + " \n", + " list.append(num)\n", + " return list\n", + " \n", + " print(remove_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f549d6f9", + "metadata": {}, + "outputs": [], + "source": [ + "#EJERCICIO 2\n", + "\n", + "class List(object):\n", + " def count_spec_digits(self, integers_list, digits_list):\n", + " # your code here\n", + " \n", + " lista = []\n", + " \n", + " for digit in digits_list:\n", + " count = 0\n", + " for num in integers_list: \n", + " count += str(num).count(str(digit))\n", + " lista.append((digit, count))\n", + " \n", + " return lista" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "635b8f30", + "metadata": {}, + "outputs": [], + "source": [ + "# Ejercicio 3\n", + "\n", + "def ordered_count(inp):\n", + " # Crea un diccionario vacío para almacenar los recuentos de caracteres.\n", + " palabra = {}\n", + " # Itera sobre cada carácter en la entrada.\n", + " for letra in inp:\n", + " # Si el carácter ya está en el diccionario, incrementa su recuento.\n", + " if letra in palabra:\n", + " palabra[letra] += 1\n", + " # De lo contrario, agrega el carácter al diccionario con un recuento de 1.\n", + " else:\n", + " palabra[letra] = 1\n", + " # Convierte el diccionario en una lista de tuplas y devuelve la lista.\n", + " return list(palabra.items())" + ] + } + ], + "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": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}