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Python ã«ã‚ˆã‚‹æ—¥æœ¬èªžè‡ªç„¶è¨€èªžå‡¦ç†
ã¯ã˜ã‚ã« ã“ã®æ–‡æ›¸ã¯ã€ Steven Bird, Ewan Klein, Edward Loper è‘— è©åŽŸ æ£äººã€ä¸å±± 敬広ã€æ°´é‡Ž 貴明　訳 『入門 自然言語処ç†ã€ O'Reilly Japan, 2010. ã®ç¬¬12ç« ã€ŒPython ã«ã‚ˆã‚‹æ—¥æœ¬èªžè‡ªç„¶è¨€èªžå‡¦ç†ã€ã‚’ã€åŽŸæ›¸ Natural Language Processing with Python ã¨åŒã˜ Creative Commons Attribution Noncommercial No Derivative Works 3.0 US License ã®ä¸‹ã§å…¬é–‹ã™ã‚‹ã‚‚ã®ã§ã™ã€‚ 原書ã§ã¯ä¸»ã«è‹±èªžã‚’対象ã¨ã—ãŸè‡ªç„¶è¨€èªžå‡¦ç†ã‚’å–り扱ã£ã¦ã„ã¾ã™ã€‚内容や考ãˆæ–¹ã®å¤šãã¯è¨€èªžã«ä¾å˜ã—ãªã„ã‚‚ã®ã§ã¯ã‚ã‚Šã¾ã™ãŒã€å˜èªžã®åˆ†ã‹ã¡æ›¸ãã‚’ã—ãªã„ç‚¹ã‚„çµ±èªžæ§‹é€ ç‰ã®é•ã„ã‹ã‚‰ã€æ—¥æœ¬èªžã‚’対象ã¨ã™ã‚‹å ´åˆã€ã„ãã¤ã‹æ°—ã‚’ã¤ã‘ãªã‘ã‚Œã°ã„ã‘ãªã„点ãŒã‚ã‚Šã¾ã™ã€‚日本語を扱ã†å ´åˆã«ã‚‚
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Pythonワンライナーã§æ•°ç‹¬ã‚’解ã„ã¦ã¿ãŸ
GIGAZINEã«æ•°å¦ã®ã‚¨ã‚スパートãŒ3ヶ月ã‹ã‘ã¦ä½œæˆã—ãŸã€Œä¸–界一難ã—ã„数独ã€ãªã‚‹ã‚‚ã®ãŒã‚ã£ãŸã®ã§ã€å³å¸ã§Pythonワンライナー(一行プãƒã‚°ãƒ©ãƒ )を作ã£ãŸã‚‰1秒ã‹ã‹ã‚‰ãšè§£ã‘ãŸã€‚å•é¡Œã‚’作るã®ã¯å¤§å¤‰ã§ã‚‚解æžãƒ—ãƒã‚°ãƒ©ãƒ ã§ä¸€çž¬ã¨ã¯å„šã„。 python -c "import sys;L=[];S=lambda D:(0in D)and[L.append(D.index(0)),[(D.__setitem__(L[-1],i),S(D),D.__setitem__(L.pop(),0))for i in set(range(1,10))-set(D[L[-1]/9*9:L[-1]/9*9+9]+D[L[-1]%9:81:9]+[d for n in(0,1,2)for d in D[L[-1]/27*27+L[-1]%9/3*3+n*9:L[-1]/27*27+L[-1]%9/3*3+n*9+3]]
Kivy: Cross-platform Python Framework for NUI
Kivy has been built to be easy to use, cross-platform and fast. With a single codebase, you will be able to deploy apps on Windows, Linux, macOS, iOS and Android. Business Friendly Kivy is released under the MIT License, is 100% free to use, and is professionally developed, backed and maintained. Companies and individuals are using Kivy for their projects every day.
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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
Text Processing in Python (a book)
A couple of you make donations each month (out of about a thousand of you reading the text each week). Tragedy of the commons and all that... but if some more of you would donate a few bucks, that would be great support of the author. In a community spirit (and with permission of my publisher), I am making my book available to the Python community. Minor corrections can be made to later printings,
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12月21 Pythonã®ã‚¤ãƒ³ã‚¯ãƒ«ãƒ¼ãƒ‰ãƒ‘スã¨__init__.py カテゴリ:プãƒã‚°ãƒ©ãƒŸãƒ³ã‚° pythonã§ãƒ—ãƒã‚°ãƒ©ãƒ を書ã上ã§æœ€åˆã«æ¿€çªã—ãŸå£ãŒã€Œä»–ã®ãƒ•ã‚¡ã‚¤ãƒ«ã«æ›¸ã„ãŸã‚¯ãƒ©ã‚¹ã¨ã‹é–¢æ•°ã¨ã‹ã‚’ã©ã†ã‚„ã£ã¦å‘¼ã¹ã°ã„ã„ã®ï¼Ÿã€ã£ã¦ã“ã¨ã§ã—ãŸã€‚ 自作ã®ãƒ©ã‚¤ãƒ–ラリãŒimportã§ããªã„ï¼ ã€Œãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€ã£ã¦ã„ã†ã»ã©ç«‹æ´¾ãªã‚‚ã‚“ã§ã‚‚ãªã„ã‚“ã§ã™ãŒã€è‡ªä½œã®å…±é€šé–¢æ•°ã‚’別ファイルã«æ›¸ã„ã¦ãŠã„ã¦ã‚ã¡ã“ã¡ã‹ã‚‰ä½¿ãŠã†ã¨æ€ã£ãŸã®ã«ã©ã†ã‚„ã£ã¦èªã¿ã“ã‚ã°ã„ã„ã®ã‹ãŒã‚ã‹ã‚‰ãšã«å°ä¸€æ™‚é–“é を抱ãˆã¦ã„ã¾ã—ãŸã€‚ ImportError: No module named mymodule ã“ã‚“ãªãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ãŒãšãƒ¼ã£ã¨å‡ºã¦ãã¦ã¡ã£ã¨ã‚‚å…ˆã«é€²ã‚ã¾ã›ã‚“ã§ã—ãŸã€‚ __init__.pyã¨ã„ã†è¬Žã®ãƒ•ã‚¡ã‚¤ãƒ« pythonã®ã‚½ãƒ¼ã‚¹ã‚’見ã¦ã„ã‚‹ã¨è‡³ã‚‹æ‰€ã«ã“ã®ã€Œ__init__.pyã€ã¨ã„ã†è¬Žã®ãƒ•ã‚¡ã‚¤ãƒ«ãŒç™»å ´ã—ã¾ã™ã€‚ã“ã‚ŒãŒãªã‚“ãªã®ã‹ã•ã£ã±ã‚Šã‚ã‹ã‚Šã¾ã›ã‚“ã§ã—ãŸã€‚
Scipy Lecture Notes — Scipy lecture notes
One document to learn numerics, science, and data with Python¶ Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. Release: 2022.1
Pythonã§ã‚°ãƒ©ãƒ•æ§‹é€ を扱ã†ã«ã¯ - nokunoã®æ—¥è¨˜
Pythonã§ã‚°ãƒ©ãƒ•æ§‹é€ を扱ã†ã«ã¯ï¼Œnetworkxã¨ã„ã†ãƒ©ã‚¤ãƒ–ラリãŒä¾¿åˆ©ã§ã™ï¼ŽOverview — NetworkX v1.5 documentation# 使ã„æ–¹$ sudo easy_install networkx$ python>>> import networkx# ノードã¨ã‚¨ãƒƒã‚¸ã®è²¼ã‚Šæ–¹>>> graph = networkx.Graph()>>> graph.add_node("youzaka")>>> graph.add_node("seiryo")>>> graph.add_edge("youzaka", "seiryo")>>> print graph.nodes()['youzaka', 'seiryo']>>> print graph.edges()[('youzaka', 'seiryo')]# 隣接ノードã¸ã®ã‚¢ã‚¯ã‚»ã‚¹>>> print graph.neighb
Python for high performance computing
@John: So what have they got against Java? Many people formed opinions of Java in the pre-1.4 days when it was relatively slow. Nowadays, to write something a lot faster in C++ takes a fair amount of effort to inline, unfold, etc. compared to what Java does with its “Hotspot†just-in-time compiler combined with online stack profiling and unfolding. Java’s still not nearly as tight in memory for ob
The Global Film Initiative - Promoting Cross-Cultural Understanding through Cinema
Global Lens 2014 : Scroll over a film below for more info. Click here to book the 2014 series.
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Technical Articles and How-Tos
https://oldriver.org/python/pep-0008j.html
http://blog.yuku-t.com/entry/20110325/1301048750
NumPy for MATLAB users – Mathesaurus
tweepy/tweepy: Twitter for Python!
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