Read Inside The Python Virtual Machine | Leanpub
1. Introduction The Python Programming language has been around for a long time. Guido van Rossum started development work on the first version in 1989, and it has since grown to become one of the more popular languages used in a wide range of applications from graphical interfaces to finance and data analysis. This write-up looks at the nuts and bolts of the Python interpreter. It targets CPython
Understanding Python metaclasses - … and Python objects in general
Understanding Python metaclasses 09 February 2015 (updated 19 November 2020) None of the existing articles [1] give a comprehensive explanation of how metaclasses work in Python so I'm making my own. Metaclasses are a controversial topic [2] in Python, many users avoid them and I think this is largely caused by the arbitrary workflow and lookup rules which are not well explained. There are few key
Pyston 0.6.1 released, and future plans
Hello all, we’re happy to release Pyston version 0.6.1, the latest version of our high-performance Python JIT.  v0.6.1 contains performance enhancements over 0.6, bringing Pyston to 95% faster than CPython on standard benchmarks. On the other hand, this is the last release that Dropbox is sponsoring.  We wanted to take some time to talk about what that means, both about the space of Python perform
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@methane ã§ã™ã€‚ compact dict ㌠Python 3.6 ãŒ9月（ベータã«ãªã‚‹ç›´å‰ï¼‰ã«ãƒžãƒ¼ã‚¸ã•ã‚Œã€ãã‚Œã®ãŠã‹ã’ã§æŽ¨è–¦ã‚’もらㄠ10月ã”ã‚ã‹ã‚‰ Python ã® Core Developer ã«ãªã‚Šã¾ã—ãŸã€‚ 「Pythonã®ãƒ•ãƒ«ã‚¿ã‚¤ãƒ コミッタã¨ã—ã¦KLabã«é›‡ã‚ã‚Œã¦ã„ã‚‹ã€ã¨ã„ã†è¨³ã§ã¯ãªã„ã®ã§ã™ãŒã€ ã‚‚ã¨ã‚‚ã¨è‡ªå·±è£é‡ã§æ¥å‹™æ™‚é–“ã®å¤§åŠã‚’OSSã¸ã®è²¢çŒ®ã‚„コードをèªã‚€ã“ã¨ã«è²»ã‚„ã—ã€ç‰¹ã«ã“ã®3ヶ月ä½ã¯ Python ã°ã‹ã‚Šè§¦ã£ã¦ã„ãŸã®ã§ã€å®Ÿè³ªçš„ã«ã¯è¿‘ã„状態ã§ã™ã€‚ ãã¡ã‚‰ã§ã®æ´»å‹•ã‚’ã‚ã¾ã‚Šæ—¥æœ¬ã§å…±æœ‰ã™ã‚‹æ©Ÿä¼šãŒãªã„ã®ã§ã€ Money Forward ã®åœéƒ¨ã•ã‚“ãŒæ›¸ã‹ã‚Œã¦ã„ã‚‹ 最近㮠ruby-core ã¨ã„ã†è¨˜äº‹ã‚’リスペクトã—ã¦ã€ 最近㮠Python ã®é–‹ç™ºçŠ¶æ³ã‚’紹介ã™ã‚‹è¨˜äº‹ã‚’書ã„ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ã€‚ Python 3.6 リリース 12/23 ã« Python 3.6 ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œ
Python dictionary implementation – Laurent Luce's Blog
This post describes how dictionaries are implemented in the Python language. Dictionaries are indexed by keys and they can be seen as associative arrays. Let’s add 3 key/value pairs to a dictionary: >>> d = {'a': 1, 'b': 2} >>> d['c'] = 3 >>> d {'a': 1, 'b': 2, 'c': 3} The values can be accessed this way: >>> d['a'] 1 >>> d['b'] 2 >>> d['c'] 3 >>> d['d'] Traceback (most recent call last): File "<s
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