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æ ªå¼ä¼šç¤¾ãƒ“ープラウド BeProud [IT High Technology & Human Centric Company]
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PEP 20 – The Zen of Python | peps.python.org
PEP 20 – The Zen of Python Author: Tim Peters <tim.peters at gmail.com> Status: Active Type: Informational Created: 19-Aug-2004 Post-History: 22-Aug-2004 Table of Contents Abstract The Zen of Python Easter Egg References Copyright Abstract Long time Pythoneer Tim Peters succinctly channels the BDFL’s guiding principles for Python’s design into 20 aphorisms, only 19 of which have been written down.
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This article covers several techniques for debugging Python programs. The applicability of these techniques ranges from simple scripts to complex applications. The topics that are covered include launching an interactive console from within your program, using the Python debugger, and implementing robust logging. Various tips are included along the way to help you debug and fix problems quickly an
Python Tutorials, more than 200, sorted by topic and category
Table of Contents Audio Podcasts from PyCon 2009 ShowMeDo's Learning Path Tutorials Setting Up Python Beginning Python Programming Intermediate Python Python for Strong Pythonistas Full Projects in Python pyGame for Python Games Python 3.0 Introduction Scientific Python Programming Python GUI Programming Beginner Python Web Programming Beginner Django Programming Python IDEs and Tools New Stuff Cr
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Monads in Python (with nice syntax!)
Update: I've been informed that I didn't clearly explain what monads are and what the code examples are supposed to do. Sorry. I guess I assumed too much preexposure to monads. If you're no familiar with them, there are already so many tutorials on monads that I'll simply direct you to two of my favorites: spacesuits and wikipedia. I've also added more explanations of what the code snippets are su
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GAEã§Python2.7を使ã£ã¦threadsafeを有効ã«ã™ã‚‹ - よã—ã ’s diary
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Experts - Enthought
Experts We are scientists who code with a passion for solving real business problems, combining in-depth science expertise with unparalleled scientific computing acumen. Deep Expertise in Science and Computing Whether you want to speed innovation and discovery, transform your lab, or develop the digital leaders of the future, our experts can help. Our experts’ achievements are many, including foun
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The Enthought Python Distribution (EPD) is the time-tested, reliable scientific and analytic Python distribution that has been installed across hundreds of thousands of machines over the last decade Now with over 600 free pre-built and tested scientific and analytic Python 2 and Python 3 packages, this time-tested collection provides users a streamlined way to deploy Python distributions. Users ha
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brew update ã—ãŸã‚‰ä»¥ä¸‹ã®ã‚ˆã†ã« distribute 㨠pip ãŒãªããªã£ã¦ã€python ãŒæ›´æ–°ã•ã‚ŒãŸã€‚ é©å½“ã«æ¤œç´¢ã—ãŸã‚‰ https://github.com/mxcl/homebrew/wiki/Homebrew-and-Python ã¨ã„ã†ãƒ‰ã‚ュメントãŒè¦‹ã¤ã‹ã£ãŸã€‚ã„ã¾ã¾ã§ easy_install ã¨ã‹ pip ã§ãƒ‘ッケージを入れるã¨ã€$HOMEBREW ã‚’ homebrew を入れãŸãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªã¨ã—ã¦ã€$HOMEBREW/Cellar/python/2.7.1/lib/python2.7/site-packages ã¨ã‹ $HOMEBREW/Cellar/python/2.7.1/bin ã«å…¥ã£ã¦ã„ãŸã‘ã©ã€python ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ãŒå¤‰æ›´ã•ã‚Œã‚‹(2.7.1 ã‹ã‚‰ 2.7.2 ã«ä¸ŠãŒã‚‹ã¨ã‹)ãŸã³ã«å…¥ã‚ŒãªãŠã—ãŸã‚Šã€ã‚·ãƒ³ãƒœãƒªãƒƒã‚¯ãƒªãƒ³ã‚¯ã—ãªãŠã—ãŸã‚Šã™ã‚‹å¿…è¦ãŒã‚ã‚‹ã®ã§ã€ã“ã‚Œ
SciPy - Installation
Installations methods include: Distributions pip conda Package Manager Source Methods differ in ease of use, coverage, maintenance of old versions, system-wide versus local environment use, and control. With pip or Anaconda's conda, you can control the package versions for a specific project to prevent conflicts. Conda also controls non-Python packages, like MKL or HDF5. System package managers, l
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