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# coding: utf-8 | |
# Símbolo de Levi-Civita en Python utilizando listas por comprensión | |
# Fórmula extraída de http://en.wikipedia.org/wiki/Levi-Civita_symbol#Three_dimensions | |
# Válido para Python 2 y 3 | |
# | |
# Juan Luis Cano Rodríguez <juanlu001@gmail.com> | |
from __future__ import print_function | |
import numpy as np |
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#!/usr/bin/env bash | |
# | |
# Crea un vídeo de una serie de imágenes .png | |
# Juan Luis Cano Rodríguez <juanlu001@gmail.com> | |
ffmpeg -i fig%03d.png -b:v 512k animation.ogv |
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# coding: utf-8 | |
"""Juego de la vida de Conway. | |
Autor: Juan Luis Cano <juanlu001@gmail.com> | |
El tablero es un array de NumPy, donde 0 significa célula muerta y 1 célula | |
viva. Se muestra una animación con matplotlib. | |
""" |
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module vectores | |
implicit none | |
contains | |
! Producto escalar entre dos vectores u, v de longitud n | |
function producto_escalar(n, u, v) result(p) | |
integer, intent(in) :: n |
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from datetime import datetime | |
from io import StringIO | |
import telnetlib | |
import socket | |
import numpy as np | |
from numpy import radians | |
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# Polar data for a certain airplane | |
# 1st line: C_L | |
# 2rd line: C_D | |
-0.9100 -0.7200 -0.4800 -0.2700 -0.0600 0.1600 0.3100 0.4700 0.6000 0.8200 1.0200 1.2000 1.2400 1.1500 1.0000 0.8000 | |
0.0538 0.0438 0.0316 0.0245 0.0228 0.0232 0.0262 0.0301 0.0348 0.0461 0.0608 0.0771 0.0814 0.0900 0.0950 0.1000 |
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