kamatari

import  time
from    tqdm import tqdm

items = [1,2,3,4,5,6,7,8,9,10]

def process(item):
    time.sleep(1)

for item in tqdm(items):
    process(item)

kamatari

require 'natto'
text = 'すもももももももものうち'
natto = Natto::MeCab.new
natto.parse(text) do |n|
  if n.feature.split(',')[0] == '名詞'
    puts "#{n.surface}\t#{n.feature}"
  end
end
====
すもも  名詞,一般,*,*,*,*,すもも,スモモ,スモモ

kamatari

sudo chown $(whoami):admin /usr/local && sudo chown -R $(whoami):admin /usr/local

kamatari

irb(main):001:0> true & true
=> true
irb(main):002:0> true & false
=> false
irb(main):003:0> false & true
=> false
irb(main):004:0> false & false
=> false

kamatari

$ echo '{"Compile":["C","C++","Objective-C"],"Script":["JavaScript","PHP","Perl","Python"]}' |python -mjson.tool
{
    "Compile": [
        "C",
        "C++",
        "Objective-C"
    ],
    "Script": [
        "JavaScript",
        "PHP",

kamatari

HEADS UP! Haml 4.0 has many improvements, but also has changes that may break
your application:

* Support for Ruby 1.8.6 dropped
* Support for Rails 2 dropped
* Sass filter now always outputs <style> tags
* Data attributes are now hyphenated, not underscored
* html2haml utility moved to the html2haml gem
* Textile and Maruku filters moved to the haml-contrib gem

kamatari

jupyter 環境構築

vagrant box download

https://www.dropbox.com/s/mx836an8niwr7mu/jupyter.box?dl=0

vagrant 起動

$ vagrant box add jupyter jupyter.box
$ vagrant init jupyter
$ vagrant up
$ vagrant ssh -- -L 8888:localhost:8888

kamatari

vagrant@vagrant-ubuntu-trusty-64:~$ conda update conda
Fetching package metadata: ....
Solving package specifications: .
Package plan for installation in environment /home/vagrant/anaconda:

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    conda-env-2.1.4            |           py27_0          15 KB

kamatari

vagrant + ipython notebook 構築メモ

vagrant で ubuntu つくる

• $ vagrant box add ubuntu-14 https://cloud-images.ubuntu.com/vagrant/trusty/current/trusty-server-cloudimg-amd64-vagrant-disk1.box
• http://www.vagrantbox.es で ubuntu amd64
• vagrant init ubuntu-14
• vagrant up
• sudo apt-get update & upgrade

ipython 環境つくる。

手作り ver

kamatari

【第一章】導入の話

• オンライン機械学習の特徴
• 良い点
• 学習データを捨てられる、学習速度が速い、学習結果がいつでも使える、実装が簡単、性能解析しやすい
• 悪い点
• 学習するデータの順番に結果が大きく依存する 　+ ノイズに弱い 　+ しかし、この本を読めばこれらの解決方法が書いてある…!らしい。

#【第二章】数学の話