Bye Matlab, hello Python, thanks Sage � Bloody Fingers
Yes, I chew on my fingers. So what ? Is that a problem to you ? Huh ? Huh ? For the past two months or so, I’ve been slowly migrating my scientific workflow (that’s a fancy way of saying “my chaotic data hacking”) from Matlab ((R) (TM) (C)) to Python. The results are overwhelmingly positive, so I’d like to rant about it a bit. First, some background. My work typically involves the analysis of tons
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[emacs] python をいじる時のemacsの設定 - のぶじゃすBLOG
GoogleAppEngineをpythonでいじってると、emacsのインデントが２だったり、 タブが入ったりでイラっとした。 とりあえず、適当に書いたら出来たっぽい。 タブをスペース４つにしただけｗ (setq-default tab-width 4) (setq-default indent-tabs-mode nil) (setq py-indent-offset 4) (add-hook 'python-mode-hook (function (lambda () (setq tab-width py-indent-offset) (setq indent-tabs-mode nil))))
Matplotlib: Python plotting — Matplotlib 2.0.0 documentation
Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matp
集合知プログラミング
TOPICS Programming , Web , Python 発行年月日 2008年07月24日 PRINT LENGTH 392 ISBN 978-4-87311-364-7 原書 Programming Collective Intelligence FORMAT Print 本書は現在注目を集めている「集合知（collective intelligence）」をテーマにした書籍です。機械学習のアルゴリズムと統計を使ってウェブのユーザが生み出した膨大なデータを分析、解釈する方法を、基礎から分かりやすく解説します。本書で紹介するのは「購入・レンタルした商品の情報を利用した推薦システム」、「膨大なデータから類似したアイテムを発見し、クラスタリングする方法」、「数多くの解決策の中から最適なものを探し出す方法」、「オークションの最終価格を予想する方法」、「カップルになりそうなペアを探す方
Beautiful Soup: We called him Tortoise because he taught us.
You didn't write that awful page. You're just trying to get some data out of it. Beautiful Soup is here to help. Since 2004, it's been saving programmers hours or days of work on quick-turnaround screen scraping projects. Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. Three features make it powerful: Beautiful Soup provides a few simple methods and
Free online photo editor with printing and slideshows
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Python Imaging Library (PIL)
The Python Imaging Library (PIL) adds image processing capabilities to your Python interpreter. This library supports many file formats, and provides powerful image processing and graphics capabilities. Status The current free version is PIL 1.1.7. This release supports Python 1.5.2 and newer, including 2.5 and 2.6. A version for 3.X will be released later. Support Free Support: If you don't have
Matplotlib: Python plotting — Matplotlib 2.0.0 documentation
Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matp
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Overview This page aims to provide basic information on various services available to those who use mtheory for their primary email and web serving needs. Hopefully this page will make you aware of everything that is available to you, so you can get more from the web with a view to making life easier. It should provide a handy reference for address and details that you may have otherwise forgot as
Python 標準ライブラリ — Python 3.7.1 ドキュメント
The Python Standard Library¶ While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. It also describes some of the optional components that are commonly included in Python distributions. Python’s standard library is very extensive, offering a wide range of faci
PyML - machine learning in Python — PyML v0.7.3 documentation
PyML - machine learning in Python¶ PyML is an interactive object oriented framework for machine learning written in Python. PyML focuses on SVMs and other kernel methods. It is supported on Linux and Mac OS X. News¶ Added wrapper for liblinear in version 0.7.8. This allows extremely fast training of linear SVMs. Features¶ Classifiers: support vector machines, nearest neighbor, ridge regression Mul
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p3d – Python module for structural bioinformatics - BMC Bioinformatics
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Google Code Archive - Long-term storage for Google Code Project Hosting.
http://pymacs.progiciels-bpi.ca/notes/Pymacs_project.html
Crop PDF File with pyPdf « Python recipes « ActiveState Code
Amazon.co.jp: Python Scripting for Computational Science (Texts in Computational Science and Engineering, 3): Langtangen, Hans Petter: 本
https://wiki.python-ogre.org/index.php/Main_Page