[B! python][performance] slay-tã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

slay-t id:slay-t

pythonã¨performanceã«é–¢ã™ã‚‹slay-tã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (7)

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

${{author_name}}$
{{author_name}}{{created}}
{{ #comment }}{{ comment }}{{ /comment }}
- {{ label }}

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

Python 3.11ã®æ–°æ©Ÿèƒ½(ãã®1ï¼‰ CPythoné«˜é€ŸåŒ–è¨ˆç”» - python.jp
ä»Šå¹´ã‚‚ã€Pythonã®ãƒ¡ã‚¸ãƒ£ãƒ¼ãƒªãƒªãƒ¼ã‚¹ã®å£ç¯€ãŒã‚„ã£ã¦ã¾ã„ã‚Šã¾ã—ãŸã€‚2022å¹´10æœˆ3æ—¥ã«ãƒªãƒªãƒ¼ã‚¹äºˆå®šã¨ãªã£ã¦ã„ã‚‹Python 3.11ã®æ–°æ©Ÿèƒ½ã‚’ç´¹ä»‹ã—ã¾ã™ã€‚ CPython é«˜é€ŸåŒ–è¨ˆç”»Â¶Python 3.11ã§æœ€å¤§ã®ãƒ‹ãƒ¥ãƒ¼ã‚¹ã¯ã€ãªã‚“ã¨è¨€ã£ã¦ã‚‚ Faster CPython: CPython é«˜é€ŸåŒ–è¨ˆç”» ãŒé–‹å§‹ã•ã‚ŒãŸã“ã¨ã§ã—ã‚‡ã†ã€‚ CPython é«˜é€ŸåŒ–è¨ˆç”»ã¯ã€Mark Shannonæ°ãŒææ¡ˆã—ãŸãƒ—ãƒ©ãƒ³ã«åŸºã¥ã„ã¦Pythonã®é«˜é€ŸåŒ–ã‚’è¡Œã†ã‚‚ã®ã§ã€Pythonã‚’æ¯Žå¹´50%é«˜é€ŸåŒ–ã—ã€äº’æ›æ€§ã‚’ä¿ã¡ã¤ã¤ 4å¹´é–“ã§5å€é«˜é€ŸåŒ–ã™ã‚‹ ã“ã¨ã‚’ç›®æ¨™ã¨ã—ã¦ã„ã¾ã™ã€‚ ã“ã®è¨ˆç”»ã¯Microsoftç¤¾ã®å‡ºè³‡ã‚’ç²å¾—ã—ã€Pythonã®çˆ¶ã§ã‚ã‚‹Guido van Rossumæ°ã‚‚åŠ ã‚ã£ã¦é–‹ç™ºãŒé€²ã‚ã‚‰ã‚Œã¦ã„ã¾ã™ã€‚ ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯Â¶ã•ã¦ã€CPython é«˜é€ŸåŒ–è¨ˆç”»æœ€åˆã®ãƒªãƒªãƒ¼ã‚¹ã¨ãªã‚‹Python 3.11ã§ã¯ã€ã©ã®ç¨‹åº¦ã®é«˜é€ŸåŒ–ãŒ
slay-t 2022/09/07
python

performance

ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°
ãƒªãƒ³ã‚¯
Pythonistaãªã‚‰çŸ¥ã£ã¦ãŠããŸã„è¨ˆç®—é‡ã®ã¯ãªã— - Qiita
æœ€è¿‘ä¹…ã—ã¶ã‚Šã«ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚¤ãƒ³ãƒˆãƒãƒ€ã‚¯ã‚·ãƒ§ãƒ³ã‚’èªã‚“ã§ã„ã‚‹ã®ã§ã™ãŒã€ãµã¨ã€ŒPython(CPython)ã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã«é–¢ã™ã‚‹å„æ“ä½œã®è¨ˆç®—é‡ã£ã¦ã©ã‚Œãã‚‰ã„ãªã®ã‹ãªï¼Ÿã€ã¨æ°—ã«ãªã£ãŸã®ã§èª¿ã¹ã¦ã¿ã¾ã—ãŸã€‚ä»¥ä¸‹ã®ãƒšãƒ¼ã‚¸ã‚’å‚è€ƒã«ã—ã¦ã„ã¾ã™: Python Time Complexity ä»¥ä¸‹ã§ã¯ $n$ ã‚„ $k$ ã¨ã„ã£ãŸè¨˜å·ã‚’ä½¿ã„ã¾ã™ã€‚ã“ã“ã§ $n$ ã¯ã‚³ãƒ³ãƒ†ãƒŠå†…ã®è¦ç´ æ•°ã€$k$ ã¯ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿å†…ã®è¦ç´ æ•°ã‹ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã®å€¤ã¨ã—ã¾ã™ã€‚ã§ã¯è¦‹ã¦ã„ãã¾ã—ã‚‡ã†ã€‚ 2021/05/02 ã‚³ãƒ¡ãƒ³ãƒˆã§ã®ã”æŒ‡æ‘˜ã‚’è¨˜äº‹ã«åæ˜ ã—ã¾ã—ãŸã€‚ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ ãƒªã‚¹ãƒˆ ã¾ãšã¯ãƒªã‚¹ãƒˆã§ã™ã€‚Pythonã§ã¯ãƒªã‚¹ãƒˆã¯å†…éƒ¨çš„ã«ã¯Cè¨€èªžã®é…åˆ—ã¨ã—ã¦è¡¨ã—ã¦ã„ã‚‹ã‚ˆã†ã§ã™ã€‚ãã®ãŸã‚ã€å…ˆé è¦ç´ ã®è¿½åŠ ã‚„å‰Šé™¤ã‚’è¡Œã†ã¨ãã‚Œä»¥é™ã®è¦ç´ ã‚’ã™ã¹ã¦ç§»å‹•ã™ã‚‹å¿…è¦ãŒã‚ã‚‹ãŸã‚å¤§ããªã‚³ã‚¹ãƒˆãŒã‹ã‹ã‚Šã¾ã™ã€‚ãªã®ã§å…ˆé ã«è¦ç´ ã‚’è¿½åŠ ã—ãŸã‚Šå‰Šé™¤ã™ã‚‹å¿…è¦ãŒã‚ã‚‹å ´åˆã¯ã€ä»£ã‚ã‚Šã«
slay-t 2021/05/03
ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ

ã‚³ãƒ³ãƒ†ãƒŠ

qiita

python

é–‹ç™º

algorithm

performance

development
ãƒªãƒ³ã‚¯
Using Alpine can make Python Docker builds 50Ã— slower
Introduction to Dockerizing for Production Improve your DevOps skills: learn an iterative process for Dockerizing your code. Get your free ebook Using Alpine can make Python Docker builds 50Ã— slower by Itamar Turner-Trauring Last updated 21 Mar 2023, originally created 29 Jan 2020 When youâ€™re choosing a base image for your Docker image, Alpine Linux is often recommended. Using Alpine, youâ€™re told,
slay-t 2020/01/31
docker

python

ubuntu

linux

performance
ãƒªãƒ³ã‚¯
TensorFlow 2.0 is now available!
Posted by the TensorFlow Team Earlier this year, we announced TensorFlow 2.0 in alpha at theÂ TensorFlow Dev Summit. Today, weâ€™re delighted to announce that the final release of TensorFlow 2.0 is now available! Learn how to install itÂ here. TensorFlow 2.0 is driven by the community telling us they want an easy-to-use platform that is both flexible and powerful, and which supports deployment to any
slay-t 2019/10/02
cloud

performance

on

Developers

python
ãƒªãƒ³ã‚¯
Python ã®æ–°ã—ã„ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ© vmprof ãŒé¢ç™½ã„ - methaneã®ãƒ–ãƒã‚°
PyPy 2.6 ã¨åŒæ™‚ã«ã€ vmprof ã¨ã„ã† CPython/PyPy ç”¨ã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ãŒç™»å ´ã—ã¾ã—ãŸã€‚ ç§ã¯ã¾ã PyPy ã§ã¯ä½¿ã£ã¦ã„ã¾ã›ã‚“ãŒã€CPythonã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚’ã“ã‚Œã§ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ«å–ã£ã¦ã¿ãŸã‚‰ãªã‹ãªã‹é¢ç™½ã‹ã£ãŸã®ã§ç´¹ä»‹ã—ã¾ã™ã€‚ æ¦‚è¦ Python ã«ã¯ã‚‚ã¨ã‚‚ã¨æ¨™æº–ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã¨ã—ã¦ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ© (cProfile) ãŒä»˜ã„ã¦ãã¦ã„ã¾ã™ãŒã€ã“ã‚Œã¯é–¢æ•°ã®å‘¼ã³å‡ºã—ã¨æˆ»ã‚Šã§ã‚³ãƒ¼ãƒ«ãƒãƒƒã‚¯é–¢æ•°ã‚’å‘¼ã³å‡ºã—ã¤ã¤å®Ÿè¡Œæ™‚é–“ã‚’è¨ˆæ¸¬ã™ã‚‹ã‚¿ã‚¤ãƒ—ã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã§ã€çŸæ™‚é–“ã§ã‚‚æ£ç¢ºãªãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ«ãŒå–ã‚Œã‚‹åé¢ã€ã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰ãŒå¤§ããã€å°ã•ã„é–¢æ•°ã‚’ãŸãã•ã‚“å‘¼ã³å‡ºã™éƒ¨åˆ†ãŒã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰ã§ã‚ˆã‚Šå¤§ããè¦‹ãˆã¦ã—ã¾ã†ãªã©ã®å•é¡ŒãŒã‚ã‚Šã¾ã—ãŸã€‚ ã“ã‚Œã¨åˆ¥ã®ç¨®é¡žã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã¨ã—ã¦ã€å®šæœŸçš„ã«ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ã—ã¦ã€ã‚µãƒ³ãƒ—ãƒ«ãŒå¤šã„ã¨ã“ã‚ãŒå®Ÿè¡Œæ™‚é–“ã‚‚å¤šã„ãƒã‚ºã€ã¨ã„ã†ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã‚‚ã‚ã‚Šã¾ã™ã€‚ã“ã¡ã‚‰ã¯ã‚ã‚‹ç¨‹åº¦ã®é‡ã®ã‚µãƒ³ãƒ—ãƒ«ã‚’é›†ã‚ãªã„ã¨
slay-t 2015/06/10
python

performance

profiler

ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©
ãƒªãƒ³ã‚¯
Scaling Django to 8 Billion Page Views
As weâ€™re approaching 8 billion page views per month and 45k requests per second, weâ€™ve learned a couple things about delivering comments to a lot of different people. Disqus is very well known for using Django for almost all of our web traffic, and that continues to be a thing today. As with any web framework, there are inherent trade-offs: rapid development vs performance, familiarity for new dev
slay-t 2013/09/25
Performance

framework

Web

development

Lean

python

django

varnish

scale
ãƒªãƒ³ã‚¯
æœ€é€Ÿæœ€å¼·Webã‚µãƒ¼ãƒãƒ¼ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ - Qiita
POST /post HTTP/1.1 Host: localhost Content-Type: application/x-www-form-urlencoded Content-Length: 7 foo=bar 1è¡Œç›®ã¯ request-line ã§ã€ method URI HTTP-version ã®å½¢ã‚’ã—ã¦ã„ã¾ã™ã€‚URIã¯ãƒ›ã‚¹ãƒˆã‚’å«ã‚ãŸçµ¶å¯¾URIã®å ´åˆã¨ã€ãƒ›ã‚¹ãƒˆã‚’å«ã‚ãªã„çµ¶å¯¾ãƒ‘ã‚¹ã®å ´åˆãŒã‚ã‚Šã¾ã™ãŒã€çµ¶å¯¾ãƒ‘ã‚¹ã®æ–¹ãŒä¸€èˆ¬çš„ã§ã™ã€‚ 2è¡Œç›®ã‹ã‚‰ç©ºè¡Œã¾ã§ãŒ request-header ã§ã™ã€‚å„è¡Œã¯ field-name: field-value ã®å½¢ã‚’ã—ã¦ã„ã¾ã™ã€‚ field-name ã¯å¤§æ–‡å—å°æ–‡å—ã‚’åŒºåˆ¥ã—ã¾ã›ã‚“ã€‚ request-line ã‹ã‚‰ request-header ã¨ãã‚Œã«ç¶šãç©ºè¡Œã¾ã§ã€æ”¹è¡Œã¯ CR LF ã«ãªã£ã¦ã¾ã™ã€‚Windowsã§ã‚ˆãè¦‹ã‚‹æ”¹è¡Œã‚³ãƒ¼ãƒ‰ã§ã™ãã€‚ meth
slay-t 2013/08/27
http

python

ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£

ã‚ã¨ã§èªã‚€

performance

MyInterest

httpd

Webã‚µãƒ¼ãƒãƒ¼

cool
ãƒªãƒ³ã‚¯
1