Archived: Python Extension Packages for Windows - Christoph Gohlke
 Archived: Unofficial Windows Binaries for Python Extension Packages by Christoph Gohlke. Updated on 26 June 2022 at 07:27 UTC. This page provides 32 and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language. A few binaries are available for the PyPy distribution. The files are unofficial (meaning: inform
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ã€Pythonã®ãƒ‘ッケージ管ç†ã«æ‚©ã‚€æ–¹ã¸ã€‘パッケージ管ç†ãƒ„ールRyeを使ã£ã¦ã¿ãŸ | DevelopersIO
ã“ã‚“ã¡ã«ã¯ã€‚ データアナリティクス事æ¥æœ¬éƒ¨ インテグレーション部 機械å¦ç¿’ãƒãƒ¼ãƒ ã®ä¸æ‘ã§ã™ã€‚ 今回ã¯Ryeを使ã£ãŸPythonã®å®Ÿè¡Œç’°å¢ƒæ§‹ç¯‰ã«ã¤ã„ã¦ã”紹介ã—ã¾ã™ã€‚ Ryeã«ã¤ã„㦠Ryeã¯Rustã§å®Ÿè£…ã•ã‚ŒãŸã€Python環境をワンストップã§ç®¡ç†ã§ãるツールã¨ãªã£ã¦ã„ã¾ã™ 今ã¾ã§ã¯pyenv + poetryã‚„pyenv + pipenvãªã©pyenvã¨ã®çµ„ã¿åˆã‚ã›ã§æ§‹ç¯‰ãŒå¿…è¦ã ã£ãŸã‚‚ã®ãŒã€Ryeã ã‘ã§Pythonインタープリタå«ã‚ã¦ç®¡ç†ã™ã‚‹ã“ã¨ãŒå¯èƒ½ã§ã™ã€‚ Ryeã¯Rustã®rustupã¨cargoã«ã‚¤ãƒ³ã‚¹ãƒ‘イアã•ã‚ŒãŸã€Pythonã®æ–°ã—ã„パッケージング体験を構築ã™ã‚‹å®Ÿé¨“çš„ãªè©¦ã¿ã¨ãªã£ã¦ãŠã‚Šã€ä½œè€…ã«ã‚ˆã‚Šã€ŒProduction Readyã§ã¯ãªã„ã€ã¨ç´¹ä»‹ã•ã‚Œã¦ã„ã¾ã™ãŒã€æ¤œè¨¼ç”¨ç‰å€‹äººã§ä½¿ç”¨ã™ã‚‹ã«ã¯ä½¿ã„å‹æ‰‹ã¯ã‹ãªã‚Šè‰¯ã‹ã£ãŸã®ã§ã”紹介致ã—ã¾ã™ã€‚ å…¬å¼ãƒšãƒ¼ã‚¸ã¯ä»¥ä¸‹ã¨ãªã‚Šã¾ã™ã€‚ セットアップ インス
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オブジェクトã¨ã¯ã€PythonãŒãƒ‡ãƒ¼ã‚¿ã‚’æ“作ã™ã‚‹ãŸã‚ã®åŸºæœ¬çš„ãªå˜ä½ã€‚ オブジェクトã¨ã¯ã€ã‚¢ãƒ‰ãƒ¬ã‚¹ã‚„値ãŒã¾ã¨ã¾ã£ãŸ 1 ã¤å˜ä½ã€‚ Pythonã§ã¯ã€ã‚ªãƒ–ジェクトã®å‚照を使ã£ã¦ã‚ªãƒ–ジェクトã«ã‚¢ã‚¯ã‚»ã‚¹ã—ã€æ“作ã™ã‚‹ã€‚ Pythonã§ã¯ã€ã‚ªãƒ–ジェクトã®å‚照をãƒã‚¤ãƒ³ã‚¿ã®ã‚ˆã†ã«ä½¿ã†ã€‚ オブジェクトã®å‚ç…§ã¨ãƒã‚¤ãƒ³ã‚¿ã¯ä¼¼ã¦ã„る概念。 ãƒã‚¤ãƒ³ã‚¿ã¯ãã‚ŒãŒæŒ‡ã—示ã™å…ˆã®ãƒ¡ãƒ¢ãƒªã‚¢ãƒ‰ãƒ¬ã‚¹ã®æ ¼ç´å…ˆã‚’示㙠オブジェクトã®å‚ç…§ã¯ã‚ªãƒ–ジェクトã®æ ¼ç´å…ˆã‚’示㙠1 ã¤ã®ã‚ªãƒ–ジェクトã«ã¯ã€æ§˜ã€…ãªæƒ…å ±ãŒå«ã¾ã‚Œã‚‹ã€‚例ãˆã°ä»¥ä¸‹ã®æƒ…å ±ãŒå«ã¾ã‚Œã‚‹ã€‚ オブジェクトã®åž‹ オブジェクトãŒå±žã™ã‚‹ãƒ‡ãƒ¼ã‚¿åž‹ï¼ˆä¾‹ï¼šint, float, str, list, dict, etc.） オブジェクトã®å€¤ オブジェクトãŒä¿æŒã™ã‚‹å®Ÿéš›ã®ãƒ‡ãƒ¼ã‚¿ã€‚整数オブジェクトã®å ´åˆã¯æ•´æ•°å€¤ã€æ–‡å—列オブジェクトã®å ´åˆã¯æ–‡å—列値 オブジェクト㮠ID オブジェクトãŒãƒ¡ãƒ¢ãƒªä¸Šã§ä¸€æ„ã«è˜
GitHub - rougier/scientific-visualization-book: An open access book on scientific visualization using python and matplotlib
Nicolas P. Rougier, Bordeaux, November 2021. The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop only, some deal with
Installing Intel® Performance Libraries and Intel® Distribution for...
These repositories are no longer being updated as of 2020, and all newer releases can be found on the Intel® oneAPI Toolkits Installation Guide for Linux* OS. This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution for Python* as they are distributed via the APT repositories described below. These software d
AMD製CPUã®Ryzenã§NumpyãŒé…ã„å•é¡Œã‚’解決ã™ã‚‹æ–¹æ³•
消費者åºãŒå•é¡Œã¨ã—ã¦ã„る「誇大ãªå®£ä¼ã‚„表ç¾ã€ã¨ãªã‚‰ãªã„よã†é…æ…®ã—ã€ã‚³ãƒ³ãƒ†ãƒ³ãƒ„を制作ã—ã¦ãŠã‚Šã¾ã™ã®ã§ã”安心ãã ã•ã„。万ãŒä¸€ã€ä¸é©åˆ‡ãªè¡¨ç¾ãªã©è¦‹ã¤ã‘られã¾ã—ãŸã‚‰ã€ãŠå•åˆã›ãƒ•ã‚©ãƒ¼ãƒ ã‹ã‚‰ã”é€£çµ¡é ‚ã‘ã‚‹ã¨å¹¸ã„ã§ã™ã€‚ 最近ã¯AMD製ã®CPUã§ã‚ã‚‹Ryzenã‚’æ載ã—ãŸãƒ‘ソコンãŒå¢—ãˆã¦ãã¾ã—ãŸã€‚性能ãŒé«˜ã„ã«ã‚‚ã‹ã‹ã‚らãšä¾¡æ ¼ãŒå®‰ã„ã“ã¨ã‚‚ã‚ã‚Šã€ã¨ã¦ã‚‚é…力的ã§ã™ã€‚ 今回ã€å®Ÿéš›ã«Pythonã®ãƒ©ã‚¤ãƒ–ラリã§ã‚ã‚‹Numpyを使ã£ã¦è¡Œåˆ—ã®è¨ˆç®—ã‚’è¡Œã£ã¦ã¿ãŸã®ã§ã™ãŒã€Intel製ã®CPUã»ã©ã®ãƒ‘フォーマンスãŒå‡ºãªã„ã“ã¨ãŒç¶šã„ãŸã®ã§ã€ã©ã†ã‚„ã‚Œã°é«˜é€ŸåŒ–ã§ãã‚‹ã®ã‹ã‚’探ã£ã¦ã¿ã¾ã—ãŸã€‚実際ã«ã€Numpyã§ã®è¨ˆç®—ãŒé€Ÿããªã£ãŸã®ã§ã€ãã®æ–¹æ³•ã‚’ã”紹介ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ Ryzenã§Numpyを実行ã™ã‚‹ã¨ã¨ã¦ã‚‚é…ã„ AMD社ã®Ryzenã¯æœ€è¿‘ã§ã¯ã¨ã¦ã‚‚性能ãŒä¸ŠãŒã£ã¦ã„ã¦ã€Intel製ã®CPUよりも高性能ã ã¨æ„Ÿã˜ã‚‹å ´é¢ãŒå¢—ãˆã¦ã„ã¾ã™ã€‚ 実際ã€R
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Pythonã§ãƒã‚°å‡ºåŠ›ã¨ã„ãˆã°ã€æ¨™æº–モジュール㮠logging を利用ã™ã‚‹æ–¹æ³•ãŒä¸€èˆ¬çš„ã§ã™ã。ググã£ã¦å‡ºãるブãƒã‚°è¨˜äº‹ã‚’èªã‚ã°ã€ãªã‚“ã¨ãªãã®ç†è§£ã§ã‚‚使ãˆã¦ã—ã¾ã†ã®ã§ã€ã—ã£ã‹ã‚Šã¨ä»•çµ„ã¿ã‚’ç†è§£ã›ãšã¨ã‚‚使ãˆã¦ã—ã¾ã„ã¾ã™ã—ã€ãã‚Œã§ã‚‚å•é¡Œãªã„ケースも多ã„ã¨æ€ã„ã¾ã™ã€‚ ãŸã ã—ã€å°‘ã—å‡ã£ãŸã“ã¨ã‚’ã—よã†ã¨ã™ã‚‹ãªã‚‰ã°ã€ä¸€åº¦Pythonã®ãƒã‚®ãƒ³ã‚°ã®ä»•çµ„ã¿ã‚’抑ãˆã¦ãŠã„ãŸã»ã†ãŒåœ§å€’çš„ã«å®Ÿè£…ãŒæ¥½ã«ãªã‚Šã¾ã™ã€‚今回ã¯loggingモジュールã®ä»•çµ„ã¿ã‚’ç†è§£ã—ãŸã†ãˆã§ä½¿ã„ã“ãªã™ã“ã¨ç›®çš„ã«ã€å›³è§£ã‚„コードを交ãˆã¦åˆ†ã‹ã‚Šã‚„ã™ã解説ã—ã¦ã„ãã¾ã™ã€‚ PythonãŒãƒã‚°ã‚’出力ã™ã‚‹ä»•çµ„ã¿ ã¾ãšã¯ã€ãƒã‚°å‡ºåŠ›æ©Ÿèƒ½ã‚’実装ã™ã‚‹ã‚ªãƒ–ジェクトãŸã¡ã®æ©Ÿèƒ½ãƒ»å½¹å‰²ã‚’æ•´ç†ã—ã¾ã™ã€‚ オブジェクト 機能・役割 ãƒã‚°ãƒ¬ã‚³ãƒ¼ãƒ‰ï¼ˆlogging.LogRecord） ãƒã‚°å‡ºåŠ›ã•ã‚Œã‚‹ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ãã®ã‚‚ã®ã®æƒ…å ±ã‚’æŒã¤ã€‚ãƒã‚¬ãƒ¼é–“ã§ã‚„ã‚Šå–ã‚Šã•ã‚Œã‚‹ã®ã¯ã“ã®ãƒã‚°ãƒ¬ã‚³ãƒ¼ãƒ‰ã§ã‚る。
Pythonã§ä½œæˆã—ãŸãƒ©ã‚¤ãƒ–ラリをã€PyPIã«å…¬é–‹/アップãƒãƒ¼ãƒ‰ã™ã‚‹ - Qiita
便利ãªãƒ„ールを作æˆã—ãŸã‚‰ã€ãœã²ã¿ã‚“ãªã«ã‚‚使ã£ã¦ã‚‚らã„ãŸã„ã‚‚ã®ã§ã™ã€‚Pythonã§ã¯PyPIã¨ã„ã†ãƒ‘ッケージを登録ã™ã‚‹ã‚µã‚¤ãƒˆãŒã‚ã‚Šã€ã“ã“ã«ç™»éŒ²ã™ã‚‹ã“ã¨ã§pip installãªã©ã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹ã“ã¨ãŒã§ãるよã†ã«ãªã‚Šã¾ã™ã€‚ 本文書ã§ã¯ã€ãã®æ‰‹é †ã‚’紹介ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ 注æ„: å¤ã„方法ã«ã¤ã„㦠・・・ã¨æ€ã£ã¦Googleã§æ¤œç´¢ã™ã‚‹ã¨ã€ç¾åœ¨ã§ã¯æŽ¨å¥¨ã•ã‚Œãªã„å¤ã„方法ãŒãŸãã•ã‚“引ã£ã‹ã‹ã‚Šã¾ã™ã€‚以下ã¯å¤ã„方法ã®ä»£è¡¨ä¾‹ãªã®ã§ã€æ³¨æ„ã‚’ã—ã¦ãã ã•ã„。 setup.pyã§distutilsを使ã£ã¦ã„ã‚‹ ç¾åœ¨ã¯setuptoolsを使ã†ã®ãŒæŽ¨å¥¨ã§ã™ .pypircã«distutilsã®è¨˜è¼‰ãŒã‚ã‚‹ ç¾åœ¨ã¯å¿…è¦ã‚ã‚Šã¾ã›ã‚“ python setup.py registerã‚„python setup.py sdist uploadを使ã£ã¦ã„ã‚‹ ã“れらã¯å¹³æ–‡ã®HTTP/èªè¨¼ã•ã‚Œã¦ã„ãªã„HTTPSã®é€šä¿¡ã‚’利用ã™ã‚‹ãŸã‚ã€
Python Programming And Numerical Methods: A Guide For Engineers And Scientists — Python Numerical Methods
Python Programming And Numerical Methods: A Guide For Engineers And Scientists¶ This notebook contains an excerpt from the Python Programming and Numerical Methods - A Guide for Engineers and Scientists, the content is also available at Berkeley Python Numerical Methods. The copyright of the book belongs to Elsevier. We also have this interactive book online for a better learning experience. The c
Pythonã®ã‚ªãƒ–ジェクト指å‘プãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚’完全ç†è§£ - Qiita
ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆæŒ‡å‘ 1. オブジェクト指å‘ã®èµ·æº 2003å¹´ãƒãƒ¥ãƒ¼ãƒªãƒ³ã‚°è³žã®å—賞者アラン・ケイã•ã‚“ã¯ã‚ˆãオブジェクト指å‘プãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®çˆ¶ã¨ç§°ã•ã‚Œã¾ã™ã€‚ã”本人も憚るã“ã¨ãªãã€å¹¾åº¦ã€å…¬ã®å ´ã§ç™ºæ˜Žæ¨©ã‚’宣言ã—ã¦ã„ã¾ã™ã€‚ã—ã‹ã—ã€ã‚±ã‚¤ã•ã‚“ã¯ã€ŒC++ã€ã‚„「Javaã€ãªã©ã®ç¾ä»£ã®ã‚ªãƒ–ジェクト指å‘言語を蔑ã‚ã«ã—ã¦ã„ã¾ã™ã€‚ã“れらã®è¨€èªžã¯ã€ŒSimula 67ã€ã¨ã„ã†è¨€èªžã‚’å—ã‘継ã„ã ã‚‚ã®ã§ã€ç§ãŒä½œã£ãŸã€ŒSmalltalkã€ã¨é–¢ä¿‚ãªã„ã®ã ã¨ã‚±ã‚¤ã•ã‚“ã¯è€ƒãˆã¦ã„ã¾ã™ã€‚ オブジェクト指å‘ã¨ã„ã†å称ã¯ç¢ºã‹ã«ã‚¢ãƒ©ãƒ³ãƒ»ã‚±ã‚¤ã•ã‚“ã«ç”±æ¥ã™ã‚‹ã‚‚ã®ã§ã™ã€‚ã—ã‹ã—ã€C++ã¨Javaã§ä½¿ã‚ã‚Œã¦ã„ã‚‹ç¾ä»£ã®ã‚ªãƒ–ジェクト指å‘ã¯å½“åˆã®ã¨çµæ§‹é•ã„ã¾ã™ã€‚ケイã•ã‚“自身もã“れらã®è¨€èªžã‚’後継者ã¨ã—ã¦èªã‚ãªã„ã§ã™ã€‚ã§ã¯ã€ã‚±ã‚¤ã•ã‚“æ›°ãC++ã¨Javaã®è¦ªã§ã‚ã‚‹Simula 67ã¨ã„ã†è¨€èªžã¯ã©ã‚“ãªè¨€èªžã§ã—ょã†ã‹ã€‚ã“ã“ã§ã€ç°¡å˜ãªã‚µãƒ³ãƒ—ルコードを見ã¦ã¿ã¾ã—ょã†ã€‚ Cl
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GitHub - mcfletch/pyopengl-demo: Stand alone PyOpenGL demonstration scripts
GitHub - Nuitka/Nuitka: Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
Overviews — PyViz 0.0.1 documentation
scientific-visualization-book/code/scales-projections/scales-log-log.py at master · rougier/scientific-visualization-book
matplotlibã®ã‚ã£ã¡ã‚ƒã¾ã¨ã‚ - Qiita
Installing Numpy with OpenBlas // Lee On Coding // My blog about coding and stuff.
Workbooks.__OpenText Method (Microsoft.Office.Interop.Excel)
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