yuu-ito

import numpy as np
import pandas as pd


np.random.seed(1234)

start_date = "2017-07-01"
end_date = "2017-07-02"
_date_range = pd.date_range(start_date, end_date, freq="H")
_size = _date_range.shape[0]

yuu-ito

yuu-ito

# https://docs.python.org/3.5/library/types.html
from types import MethodType
class Base(object):
    def __init__(self, **kwargs):
        self.__dict__.update(kwargs)

    def add_instance_method(self, method):
        setattr(self, method.__name__, MethodType(method, self))

yuu-ito

yuu-ito

[y-ito@workspace ~]$ cat test.py

class Order():
    def __init__(self, name, campaigns=[]):
        self.name = name
        self.campaigns = campaigns

    def add(self,c):

yuu-ito

from centos:6

RUN yum install -y vim git wget tar
# useradd
RUN useradd -m y-ito \
    && echo "y-ito ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers \
    && echo 'y-ito:y-ito' | chpasswd

# Golang (1.6.3)
USER root

yuu-ito

puts "start!"
bar ="->"
(1..5).each {
  print "\r#{bar}"
  sleep 0.5
  bar = "-"+bar
}
puts "\nend!"

yuu-ito

library("magrittr")
library("dplyr")

data(Titanic)
t <- Titanic %>% as.data.frame %>% arrange(Survived,Class,Sex,Age)

t %>% 
  group_by(Survived) %>% 
  summarize(ClassCount=sum(Freq)) %>% 
  group_by %>%

yuu-ito

# rcpp sandbox

gibbs_r <- function(n,thin){
  # R実装のギブスサンプラー
  mat <- matrix(0,nrow=n,ncol=2)
  x <- 0
  y <- 0
  for(i in 1:n){
    for(j in 1:thin){
      x <- rgamma(1, 3, 1/(y*y+4) )

yuu-ito

library("ggplot2")
library("magrittr")
library("dplyr")

# midori 8
# http://hosho.ees.hokudai.ac.jp/~kubo/ce/IwanamiBook.html
data <- c(4,3,4,5,5,2,3,1,4,0,1,5,5,6,5,4,4,5,3,4)
hist(data)

loglik <- function(q){