BokehFlexible Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Interactive Tools and widgets let you and your audience probe “what if†scenarios or drill-down into the details of your data.
Dash Enterprise: The Premier Data App Platform for Python
Dash apps give a point-&-click interface to models written in Python, vastly expanding the notion of what's possible in a traditional "dashboard." With Dash apps, data scientists and engineers put complex Python analytics in the hands of business decision-makers and operators. When building Dash apps in a business setting, you'll need Dash Enterprise to deploy and scale them, plus integrate them w
GitHub - fossasia/visdom: A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Visdom has a simple set of features that can be composed for various use-cases. Windows The UI begins as a blank slate – you can populate it with plots, images, and text. These appear in windows that you can drag, drop, resize, and destroy. The windows live in envs and the state of envs is stored across sessions. You can download the content of windows – including your plots in svg. Tip: You can u
Python 㮠メタプãƒã‚°ãƒ©ãƒŸãƒ³ã‚° (__metaclass__, メタクラス) ã‚’ç†è§£ã™ã‚‹ | yunabe.jp
Pythonã®ãƒ¡ã‚¿ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚° (__metaclass__) ã¯çµ„ã¿è¾¼ã¿é–¢æ•° type ã®æ™®æ®µåˆ©ç”¨ã—ãªã„éš ã‚ŒãŸæ©Ÿèƒ½ã‚„〠普通ã¯åˆ©ç”¨ã—ãªã„特殊メソッド __new__ ãªã©ã‚’ç†è§£ã™ã‚‹å¿…è¦ãŒã‚ã‚Š ç†è§£ã™ã‚‹ã®ãŒçµæ§‹é›£ã—ã„。 ã‚ã¾ã‚Šé–¢é€£æƒ…å ±ãŒã¾ã¨ã¾ã£ã¦ã‚‹ãƒ‰ã‚ュメントãŒãªãã¦ç†è§£ã™ã‚‹ã®ã«è‹¦åŠ´ã—ãŸã®ã§æƒ…å ±ã‚’ã¾ã¨ã‚ã¦ãŠãã¾ã—ãŸã€‚ 目次 事å‰çŸ¥è˜ type ã¨ã‚¯ãƒ©ã‚¹å®šç¾©ã®ã‚ã¾ã‚ŠçŸ¥ã‚‰ã‚Œã¦ã„ãªã„関係 特殊メソッド __new__ __metaclass__ typeã®ç¶™æ‰¿ メタクラスã®ä¾‹ 実装ã®è§£èª¬ 事å‰çŸ¥è˜ Customizing class creation (日本語:クラス生æˆã‚’カスタマイズã™ã‚‹) ã‚’èªã‚€ã¨ã€åž‹ã‚’å–å¾—ã™ã‚‹ã®ã«æ™®é€šåˆ©ç”¨ã™ã‚‹builtin関数 type を継承ã—ã¦ã„ãŸã‚Šã€ 普通利用ã™ã‚‹ã“ã¨ã®ãªã„ __new__ ãŒå®šç¾©ã•ã‚Œã¦ã„ãŸã‚Šã—ã¦ã€ type ã®éš ã•ã‚ŒãŸæ©Ÿèƒ½ã¨ __new__ ã«ã¤ã„
覚ãˆã¦ãŠãã¨ä¾¿åˆ©ãª Python 標準ライブラリ | yunabe.jp
sys ã‚„ os ã®ã‚ˆã†ã«çŸ¥ã‚‰ãªã„㨠Python ã§ãƒ—ãƒã‚°ãƒ©ãƒ 書ã‘ãªã„ã¨ã„ã†ã»ã©é‡è¦ã§ã¯ãªã„ã—〠datetime, url ã‚„ hashlib ã®ã‚ˆã†ã«ç‰¹å®šã®æ©Ÿèƒ½ã«ç‰¹åŒ–ã—ã¦ã„ã‚‹ã‚ã‘ã§ã¯ãªã„ã®ã§æ„è˜ã—ã¦è¦šãˆã¦ãŠã‹ãªã„ã¨ä½¿ã†ã®ã¯é›£ã—ã„。 ãŸã 知ã£ã¦ã„ã‚‹ã¨ãŸã¾ã«ã¨ã¦ã‚‚便利 (ã§å¿˜ã‚ŒãŒã¡) ãªæ¨™æº–ライブラリをã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚ 標準ライブラリã«ã‚ã‚‹ã“ã¨ã‚’知らãªã„ã§è‡ªåˆ†ã§å®Ÿè£…ã—ã¦ã‚‚比較的簡å˜ã«å®Ÿè£…ã§ãã¦ã—ã¾ã†ã‘ã‚Œã©ã€ ã•ã£ã¨ä½¿ãˆã‚‹ã¨æ™‚é–“ã®çŸç¸®ã«ãªã‚‹ã—ã€ã¡ã‚‡ã£ã¨ Python 慣れã—ã¦ã„ã‚‹æ„Ÿã˜ãŒã™ã‚‹ã¯ãšã§ã™ã€‚ 目次 collections namedtuple Counter OrderedDict defaultdict ãã®ä»– heapq ヒープ用ã®é–¢æ•°ç¾¤ ãã®ä»–ã®ä¾¿åˆ©é–¢æ•° code contextlib functools functools.wraps SimpleHTTPServer c
Problem Solving with Algorithms and Data Structures using Python — Problem Solving with Algorithms and Data Structures
Problem Solving with Algorithms and Data Structures using Python¶ By Brad Miller and David Ranum, Luther College Assignments There is a wonderful collection of YouTube videos recorded by Gerry Jenkins to support all of the chapters in this text. Acknowledgements¶ We are very grateful to Franklin Beedle Publishers for allowing us to make this interactive textbook freely available. This online versi
psd-tools
Unverified details These details have not been verified by PyPI Meta License: MIT License (MIT License) Author: Mikhail Korobov Tags photoshop, psd Provides-Extra: dev, docs Classifiers Development Status 4 - Beta Intended Audience Developers License OSI Approved :: MIT License Programming Language Python Python :: 3 Python :: 3.9 Python :: 3.10 Python :: 3.11 Python :: 3.12 Python :: 3.13 Topic M
R vs Python for Data Analysis — An Objective Comparison
R vs Python — Opinions vs Facts There are dozens articles out there that compare R vs. Python from a subjective, opinion-based perspective. Both Python and R are great options for data analysis, or any work in the data science field. But if your goal is to figure out which language is right for you, reading the opinion of someone else may not be helpful. One person's "easy" is another person's "ha
Reddit - Dive into anything
News about the programming language Python. If you have something to teach others post here. If you have questions or are a newbie use r/learnpython https://arstechnica.com/gadgets/2023/06/reddits-new-api-pricing-will-kill-off-apollo-on-june-30/ https://www.theverge.com/2023/6/5/23749188/reddit-subreddit-private-protest-api-changes-apollo-charges
pandas - Python Data Analysis Library
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!
PEP 492 – Coroutines with async and await syntax | peps.python.org
PEP 492 – Coroutines with async and await syntax Author: Yury Selivanov <yury at edgedb.com> Discussions-To: Python-Dev list Status: Final Type: Standards Track Created: 09-Apr-2015 Python-Version: 3.5 Post-History: 17-Apr-2015, 21-Apr-2015, 27-Apr-2015, 29-Apr-2015, 05-May-2015 Table of Contents Abstract API Design and Implementation Revisions Rationale and Goals Specification New Coroutine Decla
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最近プãƒã‚³ãƒ³ï¼ˆãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ãƒ»ã‚³ãƒ³ãƒ†ã‚¹ãƒˆï¼‰ã‚’ã¯ã˜ã‚ã¾ã—ãŸã€‚ 基本的ã«ã¯ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ å‹è² ãªã®ã§ã™ãŒã€ã¨ã«ã‹ã速度を競ã†ãƒ—ãƒã‚³ãƒ³ã§ã™ã€‚ å°æ‰‹å…ˆã®é€Ÿåº¦ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã‚‚ãƒã‚«ã«ã§ãã¾ã›ã‚“。 何ãŒé€Ÿãã¦ä½•ãŒé…ã„ã®ã‹ã¯ã£ãã‚Šã•ã›ã‚‹ãŸã‚ã€ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã‚Šãã†ãªæ“作ã®ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’å–ã‚Šã¾ã—ãŸã€‚ 実行環境ã¯ä¸‹è¨˜ã®ã¨ãŠã‚Šã§ã™ã€‚ python2.7.5 OS: MacOSX 11 CPU: Core i7 2GHz (4core) MEM: 16GB ãã®1. é…列ã®åˆæœŸåŒ–を高速化ã™ã‚‹ ã¾ãšã¯ãƒ—ãƒã‚³ãƒ³ã®åŸºæœ¬ä¸ã®åŸºæœ¬ã€é…列ã®åˆæœŸåŒ–ã§ã™ã€‚ 下記７ã¤ã®åˆæœŸåŒ–方法を比較ã—ã¦ã¿ã¾ã™ã€‚ 空é…列ã¸appendã—ã¦é…列をã¤ãã‚‹ for内包表記ã§é…列をã¤ãã‚‹ サイズ1(None)ã®é…列を乗算ã—ã¦ã‹ã‚‰å€¤ã‚’代入ã™ã‚‹ サイズ1(None)ã®é…列を乗算ã™ã‚‹ サイズ1(ゼãƒ)ã®é…列を乗算ã™ã‚‹ ã™ã¹ã¦ã‚¼ãƒã®arrayã‚’ã¤ãã‚‹ 0〜nã®arra
Pythonã§ã¯Noneã®æ¯”較ã¯==ã§ã¯ãªãisを使ㆠ- ã“ã‚“ã«ã¡ã¯ã“ã‚“ã«ã¡ã¯monmonã§ã™ï¼
å‰ã«Pythonã®å‹‰å¼·ã‚’軽ãã—ãŸã‚‚ã®ã®ã€çŸæœŸé–“ã§åŸºæœ¬çš„ãªéƒ¨åˆ†ã ã‘をサラッã¨ã‚„ã£ãŸãŸã‚ã«æ™‚é–“ãŒçµŒã£ãŸã‚‰å¿˜ã‚Œã¦ã—ã¾ã£ã¦ã¾ã—ãŸã€‚ ã§ã€ä¹…々ã«ä½•ã¨ãªã書ãã¤ã¤ã€ 「ã‚ã€pythonã¯eqã¨ã‹ãªãã¦åˆ¤æ–ã™ã‚‹æ™‚ã¯==一種類ã§ã„ã„ã‚“ã ã£ãŸã£ã‘。〠ã¨ã‹ã†ã‚覚ãˆã®ã¾ã¾if文書ã„ã¦ãŸã®ã§ if data == None: print 'OK' ã¿ãŸã„ãªæ–‡ã‚’書ã„ã¦ãŸã‚“ã ã‘ã©ã€ä»–ã®äººã®ã‚³ãƒ¼ãƒ‰è¦‹ã¦ãŸã‚‰ if data is None: print 'OK' ã£ã¦ã®ãŒå‡ºã¦ãã¦ã€ 「ã‚ーï¼isã¨ã‹ã‚ã‚‹ã‚“ã ã£ã‘ï¼ã€ ã¨ãªã‚Šã€data == Noneã£ã¦æ›¸ãæ–¹ãŒé–“é•ã£ã¦ã‚‹ã®ã‹ã©ã†ã‹ç¢ºã‹ã‚ã‚‹ã“ã¨ã«ã€‚ çµæžœã¯é–“é•ã£ã¦ã‚‹ã¿ãŸã„ã§ã™ã。Noneã®æ¯”較ã¯isを使ã„ã¾ã—ょã†ã¨æ›¸ã„ã¦ã‚ã‚Šã¾ã—ãŸã€‚ isã¨==ã˜ã‚ƒã‚°ã‚°ã£ã¦ã‚‚上手ãヒットã—ãªã‹ã£ãŸã‚“ã§ã™ãŒã€ä½•ã¨ã‹Jared Grubb: Python: "is None" vs "==No
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Streamlit • A faster way to build and share data apps
datamicroscopes: Bayesian nonparametric models in Python
GitHub - gcr/tste-theano: Implementations of tSTE for Theano and vanilla Python. Stochastic Triplet Embedding. NOTICE: Use the new version in Cython! https://github.com/gcr/cython_tste
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statsmodels
Python 3.5 will Support Async/Await Asynchronous Programming
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