From 8f8e87a9296403d1ab6848b846cbe0d4b429a47a Mon Sep 17 00:00:00 2001
From: Jennifer Grisales Casadiegos <grisalesj@jupyterMiLAB>
Date: Wed, 3 Feb 2021 11:17:32 -0500
Subject: [PATCH] Ejercicio 1
---
.../ejercicio1-checkpoint.ipynb | 163 ++++++++++++++++++
ejercicio1.ipynb | 163 ++++++++++++++++++
2 files changed, 326 insertions(+)
create mode 100644 .ipynb_checkpoints/ejercicio1-checkpoint.ipynb
create mode 100644 ejercicio1.ipynb
diff --git a/.ipynb_checkpoints/ejercicio1-checkpoint.ipynb b/.ipynb_checkpoints/ejercicio1-checkpoint.ipynb
new file mode 100644
index 0000000..a8882ca
--- /dev/null
+++ b/.ipynb_checkpoints/ejercicio1-checkpoint.ipynb
@@ -0,0 +1,163 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'\\nCreated on Wed Feb 3 09:47:54 2021\\n\\n@author: jennifer\\n\\nEste programa crea una lista de palabras separadas por guiones\\n'"
+ ]
+ },
+ "execution_count": 1,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#!/usr/bin/env python3\n",
+ "# -*- coding: utf-8 -*-\n",
+ "\"\"\"\n",
+ "Created on Wed Feb 3 09:47:54 2021\n",
+ "\n",
+ "@author: jennifer\n",
+ "\n",
+ "Este programa crea una lista de palabras separadas por guiones\n",
+ "\"\"\"\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Escriba una secuencia de palabras separada por guiones...marta-ana-juan-andres-camilo-wilmer-frank-nestor-susana-marta-susana-wilmer-wilmer-wilmer\n"
+ ]
+ }
+ ],
+ "source": [
+ "palabras= input(\"Escriba una secuencia de palabras separada por guiones...\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Eliminando los guiones"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['marta', 'ana', 'juan', 'andres', 'camilo', 'wilmer', 'frank', 'nestor', 'susana', 'marta', 'susana', 'wilmer', 'wilmer', 'wilmer']\n"
+ ]
+ }
+ ],
+ "source": [
+ "palabras = re.sub(\"-\", ' ', palabras).rstrip() #con estas funciones sobre el string elimino los guiones\n",
+ "#y los espacios en blanco\n",
+ "p=palabras.split(' ') #separo las palabras y las agrego a una lista llamada 'p'\n",
+ "print(p)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Elimino los elementos repetidos y ordeno"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['marta', 'ana', 'juan', 'andres', 'camilo', 'wilmer', 'frank', 'nestor', 'susana']\n",
+ "['ana', 'andres', 'camilo', 'frank', 'juan', 'marta', 'nestor', 'susana', 'wilmer']\n"
+ ]
+ }
+ ],
+ "source": [
+ "res = [] #creo una lista donde voy a agregar los elementos no repetidos\n",
+ "#Con el for, me muevo palabra por palabra en la lista...\n",
+ "for word in p: \n",
+ " if word not in res: \n",
+ " res.append(word) \n",
+ " \n",
+ "print(res) # Imprimo la lista sin elementos repetidos\n",
+ "res.sort() # Ordeno los elementos\n",
+ "print(res) # La vuelvo a imprimir"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Creando la nueva string ordenada y simplificada"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "ana-andres-camilo-frank-juan-marta-nestor-susana-wilmer\n"
+ ]
+ }
+ ],
+ "source": [
+ "count =0\n",
+ "str1 = \"\" #Creo un string para imprimir nuevamente la lista con los giones \n",
+ "for word in res:\n",
+ " count = count+1 #Cuento la cantidad de palabras\n",
+ " if count < len(res):\n",
+ " str1= str1+(word+\"-\") # Agrego los guiones al final de cada palabra, exeptuando la última\n",
+ " else:\n",
+ " str1= str1+(word) # Sumo la ultima palabra al string sin guión\n",
+ " \n",
+ "print(str1)\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.7.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/ejercicio1.ipynb b/ejercicio1.ipynb
new file mode 100644
index 0000000..a8882ca
--- /dev/null
+++ b/ejercicio1.ipynb
@@ -0,0 +1,163 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'\\nCreated on Wed Feb 3 09:47:54 2021\\n\\n@author: jennifer\\n\\nEste programa crea una lista de palabras separadas por guiones\\n'"
+ ]
+ },
+ "execution_count": 1,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#!/usr/bin/env python3\n",
+ "# -*- coding: utf-8 -*-\n",
+ "\"\"\"\n",
+ "Created on Wed Feb 3 09:47:54 2021\n",
+ "\n",
+ "@author: jennifer\n",
+ "\n",
+ "Este programa crea una lista de palabras separadas por guiones\n",
+ "\"\"\"\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Escriba una secuencia de palabras separada por guiones...marta-ana-juan-andres-camilo-wilmer-frank-nestor-susana-marta-susana-wilmer-wilmer-wilmer\n"
+ ]
+ }
+ ],
+ "source": [
+ "palabras= input(\"Escriba una secuencia de palabras separada por guiones...\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Eliminando los guiones"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['marta', 'ana', 'juan', 'andres', 'camilo', 'wilmer', 'frank', 'nestor', 'susana', 'marta', 'susana', 'wilmer', 'wilmer', 'wilmer']\n"
+ ]
+ }
+ ],
+ "source": [
+ "palabras = re.sub(\"-\", ' ', palabras).rstrip() #con estas funciones sobre el string elimino los guiones\n",
+ "#y los espacios en blanco\n",
+ "p=palabras.split(' ') #separo las palabras y las agrego a una lista llamada 'p'\n",
+ "print(p)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Elimino los elementos repetidos y ordeno"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['marta', 'ana', 'juan', 'andres', 'camilo', 'wilmer', 'frank', 'nestor', 'susana']\n",
+ "['ana', 'andres', 'camilo', 'frank', 'juan', 'marta', 'nestor', 'susana', 'wilmer']\n"
+ ]
+ }
+ ],
+ "source": [
+ "res = [] #creo una lista donde voy a agregar los elementos no repetidos\n",
+ "#Con el for, me muevo palabra por palabra en la lista...\n",
+ "for word in p: \n",
+ " if word not in res: \n",
+ " res.append(word) \n",
+ " \n",
+ "print(res) # Imprimo la lista sin elementos repetidos\n",
+ "res.sort() # Ordeno los elementos\n",
+ "print(res) # La vuelvo a imprimir"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Creando la nueva string ordenada y simplificada"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "ana-andres-camilo-frank-juan-marta-nestor-susana-wilmer\n"
+ ]
+ }
+ ],
+ "source": [
+ "count =0\n",
+ "str1 = \"\" #Creo un string para imprimir nuevamente la lista con los giones \n",
+ "for word in res:\n",
+ " count = count+1 #Cuento la cantidad de palabras\n",
+ " if count < len(res):\n",
+ " str1= str1+(word+\"-\") # Agrego los guiones al final de cada palabra, exeptuando la última\n",
+ " else:\n",
+ " str1= str1+(word) # Sumo la ultima palabra al string sin guión\n",
+ " \n",
+ "print(str1)\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.7.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
--
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