diezguerra

  int equi ( int[] arr ) {
    long left = 0;
    long right = 0;
    
    /* sumamos todos a la izquierda */
    for(int i : arr) {
        left += i;
    }
    
    /* vamos comprobando y restando a la izquierda y sumando a la dcha */

diezguerra

set nocompatible
filetype off
set rtp+=~/.vim/bundle/vundle
call vundle#rc()
Bundle 'gmarik/vundle'
Bundle 'tpope/vim-fugitive'
Bundle 'kevinw/pyflakes'
Bundle 'kevinw/pyflakes-vim'
Bundle 'nvie/vim-flake8'
Bundle 'kien/ctrlp.vim'

diezguerra

# Snippet setting git branch and git dirty helper
# Commit at the end kept from original snippet, I added the rev-parse stuff and the proper redirection.

set fish_git_dirty_color red
set fish_git_clean_color brown
function parse_git_dirty
         if test (git status 2> /dev/null ^&1 | tail -n1) != "nothing to commit (working directory clean)"
            echo (set_color $fish_git_dirty_color)
         else

diezguerra

# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>

# <rawcell>

# How to filter Python dictionaries, the right way.
# 
# Expected output:
# Original list lookup => 100 loops, best of 3: 9.82 ms per loop
# Dict trick lookup => 1000 loops, best of 3: 315 us per loop

diezguerra

a_range = range(12)
a_range[-2:] = range(10,20)
assert a_range == range(20)

a_range[10:11] = range(10)[::-1]
a_range[20:] = []
assert a_range == range(10) + range(10)[::-1]

keywords = "apple, pear, banana, lemon and orange"
keywords = keywords.split(', ')

diezguerra

"""
Result:

Using original function 1000 loops, best of 3: 200 us per loop
Using itertools.chain 10000 loops, best of 3: 130 us per loop
Using joined sets 10000 loops, best of 3: 142 us per loop
Using double the tags and modulo 1000 loops, best of 3: 184 us per loop

"""

diezguerra

#!/usr/bin/env python2.7


import gc


def iterjam():
    import functools as ft

    def iterjam2():

diezguerra

import requests
import json

r = requests.get('https://graph.facebook.com/search?q=&type=adcountry&limit=500')
countries = {country['name']: country['country_code'] for country in r.json()['data']}

assert countries['Spain'] == 'ES'
assert len(countries) == 216

diezguerra

import dateutil.parser
import pytz


date_string = '2013-10-14T12:47:12.776270'
date_object = pytz.timezone('America/Los_Angeles').localize(dateutil.parser.parse(date_string))
print date_object.isoformat()

diezguerra