yassu

primes_s xs = (head xs) : primes_s (filter (not_dividable (head xs)) xs)
primes = primes_s [2..]

yassu

import timeit as     _timeit
from math import sqrt as _sqrt

def timer_test(s_processing, s_pretreatment, repeat=100):
    """
    print minimam, max, average, and unbiased of spend times.
    """
    t     = _timeit.Timer(s_processing, s_pretreatment)
    times = t.repeat(repeat)
    l     = len(times)

yassu

import timeit 

def get_average(array):
    return sum(array) / len(array)

t = timeit.Timer('cond=True; cond == True')
print(get_average(t.repeat(100)))
    # -> 0.04552456719000474

t = timeit.Timer('cond=True; cond is True')

yassu

#!/usr/bin/env python3


def fizzbuzz():
    """ generator of fizzbuzz """
    i = 1
    while True:
        s = ''
        if i % 3 == 0:
            s += 'Fizz '

yassu

from random import randint
from inspect import isfunction

def get_random():
    return randint(0, 10**10)

class Cacher:
    pass

DEFAULT_CACHER = Cacher()

yassu

yuki@ blockdiag block.diag --debug
WARNING: Failed to load blockdiag.imagedraw.pdf: ImportError("No module named 'reportlab'",)
WARNING: Fail to convert formula: a\sin\theta (reason: dvipng command not found)

yassu

blockdiag {
    plugin math;
    A[label="", background="math://\RR"];
}

yassu

import pylab as p


p.ion()
x = p.arange(0, 2*p.pi, 0.01)
a = 10

curve = lambda t: (t, p.sin(x+t/10.0))

line, = p.plot(x, p.sin(x))

yassu

from datetime import datetime
from math import sqrt
from json import load as _json_load
import numpy as np
from scipy import stats # for regression line
import pylab


def get_datetime(s_date):
    year, month ,day = s_date.split('/')

yassu

""" Plugins {{{
""  NeoBundle {{{
set nocompatible               " Be iMproved
filetype off                   " Required!

if has('vim_starting')
  set runtimepath+=~/.vim/bundle/neobundle.vim/
endif

call neobundle#rc(expand('~/.vim/bundle/'))