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Pythonã«é–¢ã™ã‚‹rikubaã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (92)

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rikuba 2023/03/01
Python

stats
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Polarsã¨ã„ã†Pandasã‚’100å€ãã‚‰ã„é«˜æ€§èƒ½ã«ã—ãŸãƒ©ã‚¤ãƒ–ãƒ©ãƒªãŒã¨ã¦ã‚‚è‰¯ã„ã®ã§å¸ƒæ•™ã—ã¾ã™1ã€‚Polarsã¯Rustãƒ™ãƒ¼ã‚¹ã®DataFrameãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã™ãŒã€æœ¬è¨˜äº‹ã§ã¯Pythonã§ã®ãã‚Œã«ã¤ã„ã¦èªžã‚Šã¾ã™ã€‚ ã¡ãªã¿ã«polarsã¯ç™½ç†Šã®æ„ã§ã™ã€‚ãã‚Šã‚ƒã‚ã¾ã‚ã€ç™½ç†Šã¨å¤§ç†ŠçŒ«æ¯”ã¹ãŸã‚‰ç™½ç†Šã®ã»ã†ãŒé€Ÿã„ã—å¼·ã„ã‚ˆãã£ã¦ã“ã¨ã§ã™2ã€‚ ä½•ãŒã„ã„ã®ï¼Ÿ æŽ¨ã—ãƒã‚¤ãƒ³ãƒˆã¯ï¼“ã¤ã‚ã‚Šã¾ã™ é«˜é€Ÿï¼ ãŠæ‰‹è»½ï¼ æ›¸ãã‚„ã™ã„ï¼ 1. é«˜é€Ÿ ç”»åƒã¯TPCHã®Benchmarkï¼ˆç´«ãŒPolarsï¼‰3ã€‚ æ—¥æœ¬èªžã§ã‚‚è‰²ã€…è¨˜äº‹ãŒã‚ã‚‹ã®ã§å‰²æ„›ã—ã¾ã™ãŒã€Rustã‚„Apach Arrowãªã©ã«ãŠä¸–è©±ã«ãªã£ã¦ãŠã‚Šã€éžå¸¸ã«é€Ÿã„ã§ã™ã€‚MemoryErrorã«æ‚©ã¾ã•ã‚Œã‚‹å•é¡Œã‚‚è§£æ±ºã•ã‚Œã¾ã™ã€‚é–‹ç™ºè€…ã®RitchieãŒã—ã‚ƒã‚ŒãŠã¤ãªãƒ„ã‚¤ãƒ¼ãƒˆã‚’ã—ã¦ã‚‹ã®ã§ã€ãã¡ã‚‰ã‚‚å‚è€ƒã«ã©ã†ãž â†“ 4ã€‚ æŠ„è¨³ï¼š ï¼ˆã²ã¨ã¤ç›®ï¼‰Pandasã¯é»„è‰²ãã—ãŸéƒ¨åˆ†ã§DataFram
rikuba 2023/01/21
Python

pandas
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kenkenã•ã‚“ã¯Twitterã‚’ä½¿ã£ã¦ã„ã¾ã™: ã€Œå®Œå…¨åˆå¿ƒè€…ã®çŠ¶æ…‹ã§ã€Pythonã®ç‹¬å¦ã‚’å§‹ã‚ã¦ç´„2å¹´ðŸ¤” ç´„60å†Šã®æ›¸ç±ã‚’å†™çµŒãƒ»æ¶ˆåŒ–ã—ã¦ããŸã®ã§ã€çµæ§‹ã€å®ŸåŠ›ãŒã¤ã„ãŸã®ã‹ãªðŸ¤” 2å¹´é–“ã®æ£šå¸ã¨ã—ã¦ã€åƒ•ãŒã€å†™çµŒãƒ»ç‹¬å¦ã—ã¦ããŸæ›¸ç±ã¨Kaggleã®å–ã‚Šçµ„ã¿ã‚’ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™â˜ºï¸ å…¨ã¦çœŸå‰£ã«å–ã‚Šçµ„ã‚“ã§ããŸã®ã§ã€æ°—ã«ãªã‚‹æ›¸ç±ãŒã‚ã‚Œã°ã€æ°—è»½ã«è³ªå•ãã ã•ã„â˜ºï¸ https://t.co/QL57lAy2pHã€ / Twitter
rikuba 2023/01/03
book

Python

ML
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2022å¹´åº¦ç‰ˆPythonç’°å¢ƒæ§‹ç¯‰å¾¹åº•è§£èª¬ - Qiita
å„æ©Ÿèƒ½ã¨ãƒ„ãƒ¼ãƒ«ã«ã¤ã„ã¦ã€èª¬æ˜Žã—ã¦ã„ãã¾ã™ã€‚ ã‚¨ãƒ‡ã‚£ã‚¿ Visual Studio Code ã‚¨ãƒ‡ã‚£ã‚¿ã‚„IDE(çµ±åˆé–‹ç™ºç’°å¢ƒ)ã¯å¥½ãã«é¸ã‚“ã§ã„ãŸã ã‘ã‚Œã°è‰¯ã„ã¨ã¯æ€ã„ã¾ã™ãŒã€ç‰¹ã«å¸Œæœ›ãŒãªã„ãªã‚‰ã°ã€Visual Studio Codeã‚’é¸ã‚“ã§ãŠã‘ã°é–“é•ã„ãªã„ã§ã—ã‚‡ã†ã€‚ Pythonã‚’å«ã‚€å¹…åºƒã„è¨€èªžã«å¯¾å¿œã—ã€è±Šå¯Œãªæ‹¡å¼µæ©Ÿèƒ½ã‚’å‚™ãˆã¦ã„ã‚‹éžå¸¸ã«ãƒªãƒƒãƒãªã‚¨ãƒ‡ã‚£ã‚¿ã§ã™ã€‚ã¨ã‚Šã‚ã‘Python ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã«ã¤ã„ã¦ã¯ã€ã“ã‚Œã•ãˆæœ‰ã‚Œã°ã€ç‰¹ã«IDEãªã©ã¯å¿…è¦ãªã„ã¨æ€ã„ã¾ã™ã€‚ ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã¯â†“ã‹ã‚‰ã€‚ ãƒãƒ¼ã‚¸ãƒ§ãƒ³ç®¡ç†ã‚½ãƒ•ãƒˆ Python3ç³»ã¯æ—¥å¤œã‚¢ãƒƒãƒ—ãƒ‡ãƒ¼ãƒˆã•ã‚Œã¦ã„ã¦ã€2022å¹´12æœˆç¾åœ¨ã®æœ€æ–°verã¯ã€3.11.1ãŒæä¾›ã•ã‚Œã¦ã„ã¾ã™ã€‚ ã¨ã¯ã„ãˆã€ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã«ã‚ˆã£ã¦ã¯ã€3.7.1ã¾ã§ã—ã‹å‹•ä½œãŒæ‹…ä¿ã•ã‚Œã¦ã„ãªã„ã‚‚ã®ã€3.9.0ã§ç¾åœ¨é–‹ç™ºä¸ã®ã‚‚ã®...ãªã©ãŒã‚ã‚Šã¾ã™ã€‚æœ€æ–°ã®PythonãŒå¸¸ã«å¿…è¦ã€ã¨ã„ã†ã‚ã‘ã§ã¯æ±ºã—ã¦ãªã
rikuba 2022/12/28
Python

development
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æ—¥æœ¬ã®ã‚¦ã‚§ãƒ–ãƒ‡ã‚¶ã‚¤ãƒ³ã®ç‰¹ç•°ãªäº‹ä¾‹
sabrinas.spaceã‚ˆã‚Šã€‚ 8é€±é–“ã‚‚ã‹ã‹ã‚‰ãªã‹ã£ãŸã¯ãšã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆ æ—¥æœ¬ã®ã‚¦ã‚§ãƒ–ãƒ‡ã‚¶ã‚¤ãƒ³ã¯ã©ã†é•ã†ã®ã‹? 2013å¹´ã®Randomwireã®ãƒ–ãƒã‚°æŠ•ç¨¿ã§ã€è‘—è€…(David)ã¯ã€æ—¥æœ¬ã®ãƒ‡ã‚¶ã‚¤ãƒ³ã®èˆˆå‘³æ·±ã„ç›¸é•ç‚¹ã‚’å¼·èª¿ã—ã¾ã—ãŸã€‚æ—¥æœ¬äººã¯ãƒŸãƒ‹ãƒžãƒªã‚¹ãƒˆã®ãƒ©ã‚¤ãƒ•ã‚¹ã‚¿ã‚¤ãƒ«ã§æµ·å¤–ã«çŸ¥ã‚‰ã‚Œã¦ã„ã¾ã™ãŒã€ã‚¦ã‚§ãƒ–ã‚µã‚¤ãƒˆã¯å¥‡å¦™ãªã»ã©ãƒžã‚ã‚·ãƒžãƒªã‚¹ãƒˆã§ã™ã€‚ãƒšãƒ¼ã‚¸ã«ã¯æ§˜ã€…ãªæ˜Žã‚‹ã„è‰²(3è‰²ãƒ‡ã‚¶ã‚¤ãƒ³åŽŸå‰‡ã‚’ç ´ã£ã¦ã„ã‚‹)ã€å°ã•ãªç”»åƒã€ãã—ã¦å¤šãã®ãƒ†ã‚ã‚¹ãƒˆãŒä½¿ã‚ã‚Œã¦ã„ã¾ã™ã€‚2022å¹´11æœˆã«æ’®å½±ã•ã‚ŒãŸã“ã‚Œã‚‰ã®ã‚¹ã‚¯ãƒªãƒ¼ãƒ³ã‚·ãƒ§ãƒƒãƒˆã§ã€è‡ªåˆ†ã®ç›®ã§ç¢ºã‹ã‚ã¦ä¸‹ã•ã„ã€‚ ãƒ–ãƒã‚°æŠ•ç¨¿ã«ã¯ã€æ–‡åŒ–çš„å°‚é–€å®¶ã€ãƒ‡ã‚¶ã‚¤ãƒŠãƒ¼ä»²é–“ã€ãã—ã¦ä¸æº€ã‚’æŠ±ãå¸‚æ°‘ã«ã‚ˆã£ã¦æ”¯æŒã•ã‚Œã¦ã„ã‚‹ã€è€ƒãˆã‚‰ã‚Œã‚‹ç†ç”±ãŒã„ãã¤ã‹æŒ™ã’ã‚‰ã‚Œã¦ã„ã¾ã—ãŸã€‚ ã“ã®ç†è«–ãŒä»Šã§ã‚‚æ£ã—ã„ã®ã‹ã€ã¾ãŸã€ã‚‚ã£ã¨å®šé‡çš„ãªã‚¢ãƒ—ãƒãƒ¼ãƒãŒå¯èƒ½ãªã®ã‹æ°—ã«ãªã£ãŸã®ã§ã‚„ã£ã¦ã¿ã¾ã—ãŸã€‚ ç§ãŒè¦‹ã¤ã‘ãŸã‚‚ã® å„å›½ã®æœ€ã‚‚äºº
rikuba 2022/12/08
Python

analysis
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numbaã§ã–ã£ãã‚ŠPythoné«˜é€ŸåŒ– - Qiita
numbaã¨ã„ã†ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ä½¿ã†ã¨ã€Pythonã®ã‚³ãƒ¼ãƒ‰ã‚’æ¯”è¼ƒçš„ç°¡å˜ã«é«˜é€ŸåŒ–ã§ãã¾ã™ã€‚ ã†ã¾ãã„ã‘ã°ã€from numba import jitã‚’æ›¸ã„ã¦ã€é«˜é€ŸåŒ–ã—ãŸã„é–¢æ•°ã®å‰ã®è¡Œã«@jitã‚’æ›¸ãã ã‘ã§é«˜é€ŸåŒ–ã§ãã¾ã™ã€‚ ä»•çµ„ã¿ã¨ã—ã¦ã¯ã€numbaã¯Pythonã®ä»®æƒ³ãƒžã‚·ãƒ³ã‚³ãƒ¼ãƒ‰ã‚’å–å¾—ã—ã€LLVM IRã«ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã—ã€LLVMã‚’ä½¿ã£ã¦ãƒã‚¤ãƒ†ã‚£ãƒ–ã‚³ãƒ¼ãƒ‰ã«ã™ã‚‹ã‚ˆã†ã§ã™ã€‚ åˆå›žå®Ÿè¡Œæ™‚ã¯ã€ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«å‡¦ç†ãŒèµ°ã‚‹ã®ã§ã€è‹¥å¹²é…ããªã‚Šã¾ã™ãŒã€é‡ã„å‡¦ç†ã ã¨ã€ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«æ™‚é–“ã‚’è€ƒãˆã¦ã‚‚numbaã®æ–¹ãŒé€Ÿã„ã“ã¨ã‚‚ã‚ã‚Šã¾ã™ã€‚ åˆ©ç‚¹ã¨æ¬ ç‚¹ å…ˆã«è¿°ã¹ã¦ãŠãã¾ã™ã€‚ åˆ©ç‚¹ å ´åˆã«ã‚ˆã£ã¦ã¯ã€ã‚³ãƒ¼ãƒ‰è‡ªä½“ã¯æ”¹é€ ã›ãšã«æ‰‹è»½ã«é«˜é€ŸåŒ–ã§ãã‚‹ ã‚³ãƒ¼ãƒ‰ã®æ”¹é€ ãŒã‚ã£ãŸã¨ã—ã¦ã‚‚ã€è»½å¾®ãªæ”¹é€ ã§æ¸ˆã‚€ã“ã¨ã‚‚å¤šã„ åˆ¥ãƒ•ã‚¡ã‚¤ãƒ«ã«åˆ†ã‘ã¦ãƒ“ãƒ«ãƒ‰ã™ã‚‹ã€ã¿ãŸã„ãªæ‰‹é–“ãªã“ã¨ãŒå¿…è¦ãªãã€æ‰‹è»½ã«.pyãƒ•ã‚¡ã‚¤ãƒ«ã®ä¸ã§ä½¿ãˆã‚‹ æ¬ ç‚¹ ã™ã¹ã¦ã®Pythonæ©Ÿèƒ½ãŒã‚µãƒãƒ¼ãƒˆã•ã‚Œã¦ã„
rikuba 2022/11/20
Python

performance
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GitHub - google/latexify_py: A library to generate LaTeX expression from Python code.
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rikuba 2022/10/15
Python

LaTeX
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Python 3.10ã®æ–°æ©Ÿèƒ½(ãã®10ï¼‰ Dataclassã§slotsãŒåˆ©ç”¨å¯èƒ½ã« - python.jp
dataclass ã¯ã€Pythonã§ä¸»ã«ãƒ‡ãƒ¼ã‚¿ã‚’æ ¼ç´ã™ã‚‹ãŸã‚ã®ã‚¯ãƒ©ã‚¹ã§ã€Cè¨€èªžãªã©ã§ã¯æ§‹é€ ä½“ã«ç›¸å½“ã™ã‚‹ã‚ˆã†ãªãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‚’ã€ã‹ã‚“ãŸã‚“ã«å®šç¾©ã§ãã‚‹ã‚ˆã†ã«ãªã£ã¦ã„ã¾ã™ã€‚ ãŸã¨ãˆã°ã€æ¬¡ã® Person ã¯ã€åå‰ã¨å¹´é½¢ã‚’æ ¼ç´ã™ã‚‹dataclassã§ã™ã€‚ from dataclasses import dataclass @dataclass class Person: name: str age: int person1 = Person(name="ãƒ‘ãƒ¼ã‚½ãƒ³å¤ªéƒŽ", age=20) person2 = Person(name="ãƒ‘ãƒ¼ã‚½ãƒ³æ¬¡éƒŽ", age=30) Python 3.10ã§ã¯ã€dataclass ã« slots å¼•æ•°ãŒè¿½åŠ ã•ã‚Œã€ã‚¹ãƒãƒƒãƒˆ ã‚’ä½¿ã£ãŸã‚¯ãƒ©ã‚¹ã‚’å®šç¾©ã§ãã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã—ãŸ(bpo-42269)ã€‚ ã‚¹ãƒãƒƒãƒˆã¨ã¯ï¼ŸÂ¶é€šå¸¸ã€ã‚¯ãƒ©ã‚¹ã®ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã¯ã€ãƒ¡ãƒ³ãƒãƒ¼å¤‰æ•°ã®åå‰ã¨å€¤ã‚’ __di
rikuba 2022/10/07
Python

performance
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Diagram as Code
Diagram as Code6 different ways to turn code into beautiful architecture diagrams
rikuba 2022/09/21
diagram

tool

Python
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notify.run
You may have noticed frequent outages over the last two weeks. There was an uptick in usage which stressed the small but mighty infrastructure that powers notify.run. To keep pace with usage, I've overhauled the server: I completely rewrote the server in Rust. I moved it from a single self-managed server to Google Cloud Run, which autoscales. It now uses Firestore rather than DynamoDB, which had b
rikuba 2022/09/15
Python

push
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GitHub - astral-sh/ruff: An extremely fast Python linter and code formatter, written in Rust.
Docs | Playground An extremely fast Python linter and code formatter, written in Rust. Linting the CPython codebase from scratch. âš¡ï¸ 10-100x faster than existing linters (like Flake8) and formatters (like Black) ðŸ Installable via pip ðŸ› ï¸ pyproject.toml support ðŸ¤ Python 3.13 compatibility âš–ï¸ Drop-in parity with Flake8, isort, and Black ðŸ“¦ Built-in caching, to avoid re-analyzing unchanged files ðŸ”§
rikuba 2022/09/04
Python

lint
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GitHub - lark-parser/lark: Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity. Lark can parse all context-free languages. To put it simply, it means that it is capable of parsing almost any programming language out there, and to some degree most natural languages too. Who is it for? Beginners: Lark is very friendly for experimentation. It can parse any grammar you throw at it,
rikuba 2022/08/22
Python

parser

generator
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Datetimes and timedeltas â€” Getting started with Dfs files in Python using MIKE IO
rikuba 2022/08/13
Python

NumPy

pandas
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Choose the Right Python Concurrency API - Super Fast Python
How to Choose the Right Python Concurrency API Python standard library offers 3 concurrency APIs. How do you know which API to use in your project? In this tutorial, you will discover a helpful step-by-step procedure and helpful questions to guide you to the most appropriate concurrency API. After reading this guide, you will also know how to choose the right Python concurrency API for current and
rikuba 2022/08/12
Python

asyncio

concurrency
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Windowsã®Pythonã§ãƒ‡ã‚¹ã‚¯ãƒˆãƒƒãƒ—é€šçŸ¥(ãƒˆãƒ¼ã‚¹ãƒˆ)ä½œã£ã¦ã¿ãŸã€WinRTã€‘ - Qiita
from win11toast import toast toast('Hello Python', 'Click to open url', on_click='https://www.python.org') from win11toast import toast toast('Hello', 'Lorem ipsum dolor sit amet, consectetur adipisicing elit. Earum accusantium porro numquam aspernatur voluptates cum, odio in, animi nihil cupiditate molestias laborum. Consequatur exercitationem modi vitae. In voluptates quia obcaecati!')
rikuba 2022/08/10
Windows

Python

UI
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Python in Visual Studio Code â€“ August 2022 Release - Python
Weâ€™re excited to announce that the August 2022 release of the Python and Jupyter extensions for Visual Studio Code are now available! This release includes the following improvements: Automatic debug configurations for web apps Improvements to the Getting Started Experience Setting to configure the display of the interpreter information on the status bar A new Python Tools extension template Remov
rikuba 2022/08/08
VSCode

Python
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Windows ã§ã® Python ã®ä½¿ç”¨ã«é–¢ã™ã‚‹ FAQ
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rikuba 2022/08/06
Windows

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rikuba 2022/08/06
Python

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4 Pandas Anti-Patterns to Avoid and How to Fix Them
pandas is a powerful data analysis library with a rich API that offers multiple ways to perform any given data manipulation task. Some of these approaches are better than others, and pandas users often learn suboptimal coding practices that become their default workflows. This post highlights four common pandas anti-patterns and outlines a complementary set of techniques that you should use instea
rikuba 2022/07/13
Python

pandas
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rikuba 2022/06/01
Python

pandas

performance
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