Carlos Morán carlosmoran97

⚡

Coding

Fullstack developer.

carlosmoran97 / threeshakeable.txt

Created January 31, 2022 19:13

	output: {
	name: pkg.name,
	dir: 'dist',
	format: 'es', <---- permite que se puedan compilar archivos por separado
	sourcemap: false,
	preserveModules: true, <---- se preserva la estructura original de directorios
	exports: 'named',
	assetFileNames: '[name][extname]',
	},

carlosmoran97 / index.html

Created June 25, 2021 01:30 — forked from mpj/index.html

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8" />
	<meta name="viewport" content="width=device-width, initial-scale=1.0" />
	<title>Intro to XState</title>
	<link rel="stylesheet" href="styles.css" />
	</head>
	<body>
	<div id="box"></div>

carlosmoran97 / ejer03.c

Last active September 30, 2020 07:44

	/*
	* Archivo: ejer03.c
	* Autor: Carlos Moran<mc16006>
	* Descripcion: Programa que dada una lista de numeros determina el promedio, el valor maximo y el valor minimo,
	* cada uno de los calculos hechos en un proceso distinto.
	*/
	#include <stdio.h>
	#include <stdlib.h>
	#include <limits.h>
	#include <sys/types.h>

carlosmoran97 / from_excel_to_pg.py

Created June 27, 2020 20:03

	from openpyxl import load_workbook
	import psycopg2

	filesheet = './data.xlsx'

	wb = load_workbook(filesheet)

	# connection with the database
	conn = psycopg2.connect(dbname="proyectoSGG", user="postgres", password="root")

carlosmoran97 / web_scrap_elecciones.py

Created June 27, 2020 17:25

	import pandas as pd
	import requests, lxml
	from bs4 import BeautifulSoup

	url = "https://www.tse.gob.sv/2018/escrutinio-final/asamblea/index.html"
	html = requests.get(url).text
	soup = BeautifulSoup(html, 'lxml')
	BASE_URL = "https://www.tse.gob.sv/2018/escrutinio-final/asamblea"
	panels = soup.findAll("div", {"class": "panel-purple"})

carlosmoran97 / download_books.py

Created April 9, 2020 17:18

	import pandas as pd
	from bs4 import BeautifulSoup
	import requests
	import sys

	BASE_URL = "https://link.springer.com"

	books = pd.read_html("https://docs.google.com/spreadsheets/u/0/d/1HzdumNltTj2SHmCv3SRdoub8SvpIEn75fa4Q23x0keU/htmlview#")

	counter = 0

carlosmoran97 / datos_elecciones.py

Created March 29, 2020 05:20

	import pandas as pd
	import requests, lxml
	from bs4 import BeautifulSoup

	url = "https://www.tse.gob.sv/2018/escrutinio-final/asamblea/index.html"
	html = requests.get(url).text
	soup = BeautifulSoup(html, 'lxml')
	BASE_URL = "https://www.tse.gob.sv/2018/escrutinio-final/asamblea"
	panels = soup.findAll("div", {"class": "panel-purple"})

carlosmoran97 / numero_letras.py

Created March 21, 2019 02:12 — forked from efrenfuentes/numero_letras.py

Numero a letras (Python)