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PyConã‹ã‚‰ï¼š Zedインタビュー - karasuyamatenguã®æ—¥è¨˜
多言語ãƒãƒƒã‚«ãƒ¼Zed Shawã®PyConã§ã®ã‚¤ãƒ³ã‚¿ãƒ“ュー http://pycon.blogspot.com/2011/02/title-pycon-2011-interview-with-zed.html Zed Shawã¯è¨€èªžã®å£ã‚’越ãˆã¦ã‚ªãƒ¼ãƒ—ンソースを作り出ã—ã¦ã„ã‚‹ Lamson メールアプリケーションフレームワーク (Python) Mongrel (Ruby) 言語アグノスティックウェブサームMongrel2 (C) Tir ウェブフレームワーク (Lua) 「Learn Python The Hard Way〠Pythonæ•™æ インタビュー 2003ã«æŒ‡ç´‹ã‚¹ã‚ャナー管ç†ã‚·ã‚¹ãƒ†ãƒ ã§å§‹ã‚ãŸã€ã¨ã‚ã‚‹ãŒãŸã£ãŸ8å¹´ã§ã“ã‚Œã ã‘覚ãˆä½œã£ãŸã£ã¦ã“ã¨ï¼Ÿ 「ç¾åœ¨ã¯æ•™æã¨ã—ã¦Pythonã«é–¢å¿ƒãŒã‚る〠「punctuationã‚ã‚‹ã„ã¯ã‚·ãƒ³ã‚¿ãƒƒã‚¯ã®ã‚´ãƒŸã®é‡ã®ãƒãƒ©ãƒ³ã‚¹ãŒã¨ã‚Œã¦ã„る唯一ã®è¨€èªžã ã€(よ
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ZedãŒä½•æ•…mongrel2ã«C++を使ã‚ãªã‹ã£ãŸã‹ - karasuyamatenguã®æ—¥è¨˜
Linusã«ç¶šã„ã¦Zedã‚‚C++をボãƒã‚¯ã‚½ã«ã‘ãªã—ã¦ã„る。 メーリングリストã§ã€ŒC++ã§std::stringã¨ã‹ä½¿ã£ãŸã‚‰ãƒ¡ãƒ¢ãƒªç®¡ç†ã¨ã‹ã‚¹ãƒƒã‚ã‚Šã™ã‚‹ã‚ˆã€ã¨ã„ã†æ„見ã«å¯¾ã—ã¦ã®Zedã®å論： http://librelist.com/browser//mongrel2/2010/7/15/c-verses-c++/#770d94bcfc6ddf1d8510199996b607dd ã¾ãšã€Zedã¯C++使ã£ãŸçµŒé¨“ãŒã‚ã‚Šã€Linusã®ã‚ˆã†å…¨ãC++ã‚’å¦å®šã—ã¦ã„ã‚‹ç†ç”±ã§ã¯ãªã„。ç¾åœ¨ã§ã‚‚MulletDBãªã©ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã«ã‚ˆã£ã¦ã¯ä½¿ã†ã‚ˆã†ã 。Grace frameworkã¯è‰¯ã—ã¨ã—ã¦ã„る。ãŸã ã€mongrel2ã®ã‚ˆã†ã«ã€Œç°¡å˜ãªã€ãƒ—ãƒã‚°ãƒ©ãƒ ã«ã¯C++ã¯å¤§è¢ˆè£Ÿã¨ã—ã¦ã„る。 mongrel2ã‚’Cã§å®Ÿè£…ã—ãŸç†ç”± Cã¯Posixã«å¯¾ã—ã¦ã€Œæœ€å°æ‘©æ“¦ã®ã‚¢ã‚¯ã‚»ã‚¹ã€ã‚’æä¾›ã—ã¦ã„ã‚‹ã®ã§ã€mongrel2ã®ã‚ˆã†ãªãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆ
ZeroMQ
Why ZeroMQ? ZeroMQ (also known as ØMQ, 0MQ, or zmq) looks like an embeddable networking library but acts like a concurrency framework. It gives you sockets that carry atomic messages across various transports like in-process, inter-process, TCP, and multicast. You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric
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MOONGIFT: » Googleã®ã‚½ãƒ¼ã‚¹ãƒ¬ãƒ“ューシステムMondrianã®ã‚ªãƒ¼ãƒ—ンソース版「Rietveldã€:オープンソースを毎日紹介
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Codeforces用自動ãƒã‚§ãƒƒã‚«ãƒ¼ - nodchipã®æ—¥è¨˜
Codeforcesã¨ã„ã†æ–°é€²æ°—é‹ã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚³ãƒ³ãƒ†ã‚¹ãƒˆãŒã‚るらã—ã„ã®ã§å‚åŠ ã—ã¦ã¿ã‚‹ã“ã¨ã«ã—ãŸã€‚Practiceã‚’ã‚„ã£ã¦ã¿ãŸã¨ã“ã‚ã€ICPCã¨ã»ã¼åŒã˜å½¢å¼ã ã£ãŸã€‚入出力を自分ã§ã‚³ãƒ”ペã™ã‚‹ã®ãŒé¢å€’ã ã£ãŸã®ã§è‡ªå‹•åŒ–ã—ã¦ã¿ãŸã€‚ã¶ã£ã¡ã‚ƒã‘å‰ã«ä½œã£ãŸPKU用ã®è‡ªå‹•ãƒã‚§ãƒƒã‚¯ã‚¹ã‚¯ãƒªãƒ—トã¨ã»ã¨ã‚“ã©åŒã˜ã€‚TLEã¨ã‹MLEã¨ã‹å¯¾å¿œã—ã¦ã„ãªã„ã®ã§ã€ãã®ã†ã¡å¯¾å¿œã™ã‚‹ã‹ã‚‚ã—ã‚Œãªã„。 #!/usr/bin/python import os import re import subprocess import sys import urllib def generateInputFileName(contestId, problemId, index): return contestId + problemId + '.' + str(index) + '.in.txt' def generateOutputFil
Pythonã§PLSAを実装ã—ã¦ã¿ã‚‹
probabilistic latent semantic analysis (PLSA)ã¯ã€ ・文書dãŒP(d)ã§é¸ã°ã‚Œã‚‹ ・潜在変数zãŒP(z|d)ã§é¸ã°ã‚Œã‚‹ ・語wãŒP(w|z)ã§ç”Ÿæˆã•ã‚Œã‚‹ ã¨ã„ã†ãƒ—ãƒã‚»ã‚¹ã‚’経ã¦ã€çµæžœã¨ã—ã¦(d,w)ã®ãƒšã‚¢ãŒè¦³æ¸¬ã•ã‚Œã‚‹ã¨ã„ã†æ–‡æ›¸ã¨èªžã®ç”Ÿæˆãƒ¢ãƒ‡ãƒ«ã€‚ å¼ã§è¡¨ã™ã¨ (1) ã¨ãªã‚‹ã€‚P(d,w)ã®å°¤ã‚‚らã—ã„確率分布を見ã¤ã‘ãŸã„。対数尤度関数㯠(2) ã¨ãªã‚‹ã€‚n(d,w)ã¯èªžwãŒæ–‡æ›¸dã«å‡ºç¾ã™ã‚‹å›žæ•°ã€‚ã“ã®å¼ã¯è¨“練データn(d,w)（;ã©ã®èªžãŒã©ã®æ–‡æ›¸ã«ä½•å›žå‡ºç¾ã—ãŸã‹ï¼‰ãŒå°¤ã‚‚らã—ã„確率分布P(d,w)ã«å¾“ã†ã¨ã最大ã«ãªã‚‹ã€‚ベイズã®å®šç†ã‚’用ã„る㨠(3) ã¨ãªã‚‹ã“ã¨ã‚’利用ã—ã¦ã€ã“ã®å°¤åº¦é–¢æ•°ã‚’最大化ã™ã‚‹ãŸã‚ã«EMアルゴリズムを用ã„ã¦å®Ÿè£…ã—ã¦ã¿ã‚‹ã€‚（éŽå¦ç¿’を回é¿ã™ã‚‹ãŸã‚ã«æ–‡çŒ®ã§ã¯Tempered EM (TEM)を用ã„ã¦ã„る。）尤度関数ãŒåŽæŸã™ã‚‹ã¾ã§ä»¥ä¸‹ã®E-ste
Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit
Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit Steven Bird, Ewan Klein, and Edward Loper This version of the NLTK book is updated for Python 3 and NLTK 3. The first edition of the book, published by O'Reilly, is available at http://nltk.org/book_1ed/. (There are currently no plans for a second edition of the book.) 0. Preface 1. Language Processing and P
Item based collaborative filtering - NO!ã¨è¨€ãˆã‚‹ã‚ˆã†ã«ãªã‚ŠãŸã„
D. Lemire and A. Maclachlan, "Slope One Predictors for Online Rating-Based Collaborative Filtering", In SIAM Data Mining (SDM'05), Newport Beach, California, April 21-23, 2005.ã‚’èªã‚“ã メモã§ã™ï¼Ž ã“ã®è«–æ–‡ã§ã¯ï¼Œã‚ˆã‚Šã‚ˆã„recommendationアルゴリズムã¨ã—ã¦"slope one"ã¨ã„ã†æ–¹å¼ã‚’æ案ã—ã¦ã„ã¾ã™ãŒï¼Œãã®æ–¹å¼ã®èª¬æ˜Žã¯æ¬¡å›žè¡Œã†ã“ã¨ã«ã—ã¦ï¼Œä»Šå›žã¯related workã§æŒ™ã’られã¦ã„ãŸï¼ŒB. Sarwar, G. Karypis, J. Konstan and J. Riedl, "Item-based collaborative filtering recommendation algorithms,"
Slope One Predictors in Python - NO!ã¨è¨€ãˆã‚‹ã‚ˆã†ã«ãªã‚ŠãŸã„
Slope One Predictors for Online Rating-Based Collaborative Filteringã‚’èªã‚“ã メモ1 (http://d.hatena.ne.jp/ytakano/20081002/1222970856)ã®ç¶šãã§ï¼ŒD. Lemire and A. Maclachlan, "Slope One Predictors for Online Rating-Based Collaborative Filtering", In SIAM Data Mining (SDM'05), Newport Beach, California, April 21-23, 2005.ã®ãƒ¡ãƒ¢ã§ã™ slope oneã¯è‹±èªžç‰ˆã®Wikipediaã«ã‚‚多少載ã£ã¦ã„ã¾ã™ãŒï¼Œè‹±èªžãŒèªã‚ã‚‹ãªã‚‰ï¼Œå…ƒã®è«–文をå‚ç…§ã—ãŸæ–¹ãŒã‚ˆã„ã§ã—ょã†ï¼Ž(http://en.wikipedia.org
MySQL for Python - Browse /mysql-python at SourceForge.net
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Having problems building OpenCV 2.0 on CentOS 5?
NumPy
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