Async HTTP benchmarks on PyPy3
Since Mozilla announced funding, we've been working quite hard on delivering you a working Python 3.5. We are almost ready to release an alpha version of PyPy 3.5. Our goal is to release it shortly after the sprint. Many modules have already been ported and it can probably run many Python 3 programs already. We are happy to receive any feedback after the next release. To show that the heart (asyn
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TOPICS Programming , Python 発行年月日 2015å¹´11月 PRINT LENGTH 360 ISBN 978-4-87311-740-9 原書 High Performance Python FORMAT PDF EPUB Pythonã®é«˜é€ŸåŒ–技法ã«ã¤ã„ã¦ä¸€æ©è¸ã¿è¾¼ã‚“ã プãƒãƒ¦ãƒ¼ã‚¹ã®è§£èª¬æ›¸ã€‚ボトルãƒãƒƒã‚¯ã®æ¸¬å®šæ–¹æ³•ã‹ã‚‰ã€æœ€é©ãªãƒ‡ãƒ¼ã‚¿æ§‹é€ ã®ä½¿ã„分ã‘ã€Cythonã‚„PyPyãªã©ã®ã‚³ãƒ³ãƒ‘イラã®æ¯”較ã€numpyãªã©ã®ãƒ‘ッケージã®ä½¿ã„æ–¹ã€ãƒžãƒ«ãƒã‚³ã‚¢CPUã®æ´»ç”¨æ³•ã€ãƒ¡ãƒ¢ãƒªåŠ¹çŽ‡ã‚’劇的ã«æ”¹å–„ã™ã‚‹ãƒˆãƒ©ã‚¤æ§‹é€ や近似計算ã¾ã§ã€ã‚·ãƒ³ãƒ—ルãªå®Ÿä¾‹ãƒ—ãƒã‚°ãƒ©ãƒ を用ã„ãªãŒã‚‰ã‚ã‹ã‚Šã‚„ã™ã説明ã—ã¾ã™ã€‚高性能ãªãƒ—ãƒã‚°ãƒ©ãƒ ã®æ›¸ãæ–¹ã ã‘ã§ãªãã€é«˜æ€§èƒ½ãªã‚·ã‚¹ãƒ†ãƒ ã®ä½œã‚Šæ–¹ã‚’ç·åˆçš„ã«å¦ã¶ã“ã¨ãŒã§ãã‚‹Pythonエã‚スパート必æºã®ä¸€å†Šã§ã™ã€‚ 翻訳者ã®ç›¸å·æ°ã®ãƒ–ãƒã‚°ã«ã¯ã€æœ¬æ›¸ã®è¿½åŠ æƒ…å ±ã‚„é–¢é€£ã™ã‚‹æŠ€è¡“æƒ…å ±ãŒæŽ²è¼‰ã•ã‚Œã¦ã„ã¾
Build massively scalable RESTFul API with Falcon and PyPy
Namaste everyone. If you build a RESTFul API for some purpose, what technology stack you use in python and why?. I may receive the following answers from you. 1)  I use Flask with Flask-RESTFul 2)  I use (Django + Tastypie) or (Django + REST Framework) Both options are not suitable for me. Because there is a very good light-weight API framework available in python called Falcon. I always keep my p
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#isucon 2014予é¸ã®å»¶é•·æˆ¦ã‚’ã‚„ã£ã¦ã¿ãŸ - orangain flavor
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PyPy.js: First Steps
I've been spending a lot of time in JavaScript land lately. It's not totally unexpected – when I first applied for a job with Mozilla, I was warned only semi-jokingly that "they hire all the best Python programmers and then force them to write JavaScript". I've no deep love or hate for it as a language, but JavaScript is pretty interesting to me as a platform, as a kind of runs-everywhere lowest-c
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From Python to Go… and Back Again!
GitHub - squeaky-pl/portable-pypy: Portable 64 bit x86 PyPy binaries for many Linux distributions.
hippyvm.com
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