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map0logo / Ejercicios 1.ipynb
Created November 27, 2015 13:54
Ananda Rivas - Ejercicios 1
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map0logo / Extract tabular data from Wikipedia.ipynb
Created September 24, 2015 22:14
Extract tabular data from Wikipedia
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map0logo / libro_pdf.py
Last active August 29, 2015 14:15
Para crear el PDF a partir de las imágenes descargadas con https://gist.github.com/map0logo/d97911f3d7dae2d30804
# instalar img2pdf usando
# $ pip install img2pdf
import img2pdf
import glob
page_list = glob.glob("*.jpg")
def page_num(s):
start = s.index("-") + 1
end = s.index(".", start + 1)
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map0logo / libro_mppp.py
Created February 21, 2015 02:34
Para descargar las imágenes del libro "Venezuela en cifras" http://www.mppp.gob.ve/libro/
import urllib
url = "http://www.mppp.gob.ve/libro/images/VzlaEnCifras-{}.jpg"
data = "VzlaEnCifras-{}.jpg"
for i in xrange(1, 151):
image = urllib.URLopener()
image.retrieve(url.format(i), data.format(i))
//
// Bubbles emerging over horizon and spaceships arriving to base
// Use two planes, one upper left for arcs over bands,
// and a lower right plane with points, triangles, rectangles and quads.
// I want to use open access nice color palettes.
//
// For lines use Sunny Duck Palette http://www.colourlovers.com/palette/167272/Sunny_Duck
// For arcs use Thought Provoking Palette http://www.colourlovers.com/palette/694737/Thought_Provoking
// For points use cheer up emo kid Palette http://www.colourlovers.com/palette/1930/cheer_up_emo_kid
// For triangules use Three Colors Palette http://www.colourlovers.com/palette/3473665/Three_Colors
#!/usr/local/bin/python3.3
"""
This script creates and installs a Mezzanine CMS database and application.
"""
import sys
import xmlrpclib
cmsName = "my_cms"
databaseName = "cms_db"
databaseType = "postgresql"
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map0logo / chuleta_venv.rst
Last active August 29, 2015 14:04
Cheat Sheets

Instalar archivos básicos de Python

Instalar paquetes básicos de compilación

$ sudo apt-get install build-essential

Instalar cabeceras de compilación de Python

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map0logo / pi_montecarlo.py
Last active December 14, 2015 23:29
Estimating Pi using Monte Carlo method
# -*- coding: utf-8 -*-
from random import random
from math import sqrt
from turtle import *
speed(0) # Máxima velocidad
n = 100 # Número de intentos
scale = 200 # Proporción del dibujo, por defecto es 200
pos = [(-1.5,.5),(0,.5),(-1.5,-1),(0,-1)] # Posición de los gráficos
font = ('Arial', scale/20, 'bold')