yanbe

#!/usr/bin/env python2.6
# encoding: utf-8
import sys
import sqlite3
from collections import namedtuple

conn = sqlite3.connect("wnjpn-0.9.db")

Word = namedtuple('Word', 'wordid lang lemma pron pos')

jimbojsb

Step 0:

Get Homebrew installed on your mac if you don't already have it

Step 1:

Install highlight. "brew install highlight". (This brings down Lua and Boost as well)

Step 2:

takungsk

tmux cheat sheet

コマンド

新しく開始:

tmux

セッションに名前を付けて開始:

tmux new -s myname

アタッチ:

tmux a # (or at, or attach)

再アタッチ:

tumx a -d

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

OnesimusUnbound

[T]he difference between a bad programmer and a 
good one is whether he considers his code or his 
data structures more important. Bad programmers 
worry about the code. Good programmers worry about 
data structures and their relationships. 
-- Linus Torvalds
~~~
Clarity and brevity sometimes are at odds. 
When they are, I choose clarity. 
-- Jacob Kaplan-Moss

BlackKetchupTea512

追記

この記事は古いです...。はてなブログの方に完全版を置いてあります。→ http://blue-ham-cake1024.hatenablog.com/entry/2012/09/07/Sublime_Text_2_のDefault設定ファイルを眺める

---

はてなブログは調子が悪いようなので。

この記事ではDefault設定ファイルにどのような記述がされているか、その記述にどんな意味があるかを一つ一つ見ていきます。実際に設定をカスタマイズしてみたい方は、メニューのPreferencesタブの"Settings - User"からUser設定ファイルを開いてそこでいろいろ試してみましょう。

bwhite

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

osdf

"""
Some python code for
Markov Chain Monte Carlo and Gibs sampling
by Bruce Walsh
"""


import numpy as np
import numpy.linalg as npla

jakevdp

Numba Ball Tree

This is a quick attempt at writing a ball tree for nearest neighbor searches using numba. I've included a pure python version, and a version with numba jit decorators. Because class support in numba is not yet complete, all the code is factored out to stand-alone functions in the numba version. The resulting code produced by numba is about ~10 times slower than the cython ball tree in scikit-learn. My guess is that part of this stems from lack of inlining in numba, while the rest is due to some sort of overhead