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<FilesMatch "\.(?:inc|php|py|rb|md)$">
Order allow,deny
Deny from all
</FilesMatch>

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output_all.csv
*.zip

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Descargar los datos del medallero como CSV desde la aplicación de LN

• Ingresar en http://especiales.lanacion.com.ar/multimedia/proyectos/16/07/jjoo_2016_medallero/index.html
• Abrir la consola (f12)
• Copiar y pegar el código que está en script.js y dar enter.

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license: mit

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

import pandas as pd

a = pd.read_csv("file1.csv")
b = pd.read_csv("file2.csv")

merged = pd.merge(a, b, how="inner", on="column_name")
merged.to_csv("merge_file1_file2.csv", index=False)

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Params hash or search to json javascript

Convert search/hash location url to json - params to json javascript

URL Example: example.com/some_page.html#bar=some+value&bar2=value+2&bar3%5B%5D=1&bar3%5B%5D=2&bar3%5B%5D=3&bar3%5B%5D=4

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/** fn push items on specific object
* _push to _obj
*/
function pushVarsObjs (_push, _obj){
    for (var c in _push){
        if ( typeof(_push[c]) ==  "object" ){
            // check if is an Array
            _obj[c] = _push[c].indexOf ? [] : {};
            for (var k in _push[c] ){
                _obj[c][k] = _push[c][k];

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import csv
import json

file_name = "file_name.csv"

f = open(file_name, "r")
output = open(file_name.replace(".csv", ".json"),'w')

reader = csv.DictReader(f)
json.dump([r for r in reader], output,indent=4,sort_keys=False)

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Media-queries recomendadas

• mobile-portrait: min:320px - max:479px;
• mobile-landscape: min:480px - max:599px;
• small-tablet-portrait: min:600px - max:799px;
• small-tablet-landscape: min:800px - max:767px;
• tablet-portrait: min:768px - max:1023px;
• tablet-landscape: min:1024px;

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Append helpers to DocumentCloud