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Idiomatic Python — Intermediate and Advanced Software Carpentry 1.0 documentation
Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Readability counts. (The whole Zen is worth reading...) The first step in programming is getting stuff to work at all. The next step in programming is getting stuff to work regularly. The step after that is reusing code and designing for reuse. Somewhere in there you will start writing idiomatic Python.
Processing Data with Dask
MotivationAt When I Work we record key actions that users take on the site in order to improve our products. In a typical day, this amounts to 65 million records and 1 TB of data. The volume of data can be challenging to analyze over a range of many days. The size of the data forces our analyses to be performed over a shorter period than we would like. This challenge inspired us to find a way to p
12 Python Tips and Tricks For Writing Better Code
Photo by Chris Ried on Unsplash1. F-StringsF-Strings provide a concise and convenient way to embed Python expressions inside string literals for formatting. First, let’s define two variables name and age that you want to include in our print statement. name = "Pavel" age = 23To not deal with string concatenation or using commas inside the print statement, you can use Python’s improved String forma
10 Smooth Python Tricks For Python Gods
Although on the surface Python might appear to be a language of simplicity that anyone can learn, and it is, many might be surprised to know just how much mastery one can obtain in the language. Python is one of those things that is rather easy learn, but can be difficult to master. In Python, there are often multiple ways of doing things, but it can be easy to do the wrong thing, or reinvent the
メモリリークã¨ã¯ä½•ã‹ - kuenishi's blog
メモリリークã«æ‚©ã¾ã•ã‚Œã¦ã„る技術者ã¯å¤šã„ã ã‚ã†ã€‚メモリリークãŒå«Œã§GCã¨ã„ã†æŠ€è¡“ãŒé–‹ç™ºã•ã‚ŒãŸã¨ã„ã£ã¦ã‚‚éŽè¨€ã§ã¯ãªã„ã—ã€æ´å²çš„ã«ã¯C++ã‹ã‚‰Javaã¸ã‚·ãƒ•ãƒˆãŒèµ·ããŸå¤§ããªç†ç”±ã®ã²ã¨ã¤ã¨ã„ã£ã¦ã„ã„。Unixç³»ã®ç°¡å˜ãªå®šç¾©ã§ã„ãˆã°ã€ãƒ’ãƒ¼ãƒ—é ˜åŸŸã‚’æŒ‡ã™ãƒã‚¤ãƒ³ã‚¿ï¼ˆã‚¢ãƒ‰ãƒ¬ã‚¹ï¼‰ã‚’ãƒã‚¹ãƒˆã—ã¦ã—ã¾ãˆã°ãã®ãƒ¡ãƒ¢ãƒªã¯ã‚‚ã†æ¼ã‚ŒãŸã¨ã„ã£ã¦ã‚ˆã„。ãŸã¨ãˆã°ã“ã†ã„ã£ãŸã‚³ãƒ¼ãƒ‰ã 。 struct { int i; char c; } spam; int main(){ void* p; int i; for(i=0; i<1024; ++i){ p = malloc(sizeof(struct spam)); } pause(); } ã“ã®ã‚³ãƒ¼ãƒ‰ã§ã¯pause(3)ã®æ™‚点ã§ç´„5KBã®ãƒ¡ãƒ¢ãƒªãŒæ¼ã‚Œã¦ã„る。free(3)を使ãˆã°ãƒ¡ãƒ¢ãƒªã‚’OSã«è¿”å´ã§ãã‚‹ãŒã€ã‚¢ãƒ‰ãƒ¬ã‚¹ãŒåˆ†ã‹ã‚‰ãªã„ã®ã§è¿”å´ã§ããªã„。 ã¨ã“ã‚ãŒã€ã“ã“ã§ã„ã„ãŸã„ã®ã¯ã€ãƒ¡ãƒ¢ãƒª
Tail call elimination decorator in Python | Lambda the Ultimate
Features of a programming language, whether syntactic or semantic, are all part of the language's user interface. And a user interface can handle only so much complexity or it becomes unusable. This is also the reason why Python will never have continuations, and even why I'm uninterested in optimizing tail recursion. Thus spoke Guido - as LtU readers already know. Now, not even four weeks later,
lazy property « Python recipes « ActiveState Code
ActiveState Code (http://code.activestate.com/recipes/576720/) Python does not have lazy evaluation syntax features built-in, but fortunately decorators can be used with new-style classes to emulate such a feature. There are cases where one wants foo.property to return the actual property whose calculation takes significant amount of time. This recipe adapts the existing property to provide a lazy
2011 Pythonアドベントカレンダー(Python3) (2011/12/01 00:00〜)
2011/12/25ã¾ã§å…¨ï¼’５エントリã¤ãªãŒã‚Šã¾ã—ãŸã€‚ å‚åŠ ã—ã¦ã„ãŸã ã„ãŸã¿ãªã•ã‚“。ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã—ãŸï¼ 今年もAdvent Calendarã®å£ç¯€ãŒã‚„ã£ã¦ãã¾ã—ãŸã€‚ 12/1ã‹ã‚‰ã€é †ç•ªã«1æ—¥1エントリ書ã„ã¦è¡Œã£ã¦ã‚¯ãƒªã‚¹ãƒžã‚¹ã‚’è¿Žãˆã¾ã—ょã†ï¼ ã©ã‚“ãªå†…容を書ã‘ã°ã„ã„ã®ï¼Ÿ Python3ã«é–¢ä¿‚ã—ã¦ã„ã‚Œã°ãªã‚“ã§ã‚‚オーケーã§ã™ã€‚ ã“ã‚Œã¾ã§äºŒã®è¶³ã‚’è¸ã‚“ã§ã„ãŸæ–¹ãŸã¡ã‚‚ã€ã“れを機会ã«Python3を触ã£ã¦ã¿ã¦ã¯ã©ã†ã§ã—ょã†ã€‚ ãƒã‚¿ä¾‹ Python3ã®ã“ã“ãŒã™ã”ã„Python3ã‹ã‚‰2ã«ãƒãƒƒã‚¯ãƒãƒ¼ãƒˆã•ã‚ŒãŸãƒ©ã‚¤ãƒ–ラリPython3ã§å‹•ã‹ã—ã¦ã¿ãŸPython2ã‹ã‚‰Python3ã¸ã®ãƒãƒ¼ãƒ†ã‚£ãƒ³ã‚° æµã‚Œ ã¾ãšã¯ã€ã“ã®ã‚¤ãƒ™ãƒ³ãƒˆã«å‚åŠ ã—ã¾ã—ょã†ã€‚俺ã¯ã“ã®ãƒã‚¿ã˜ã‚ƒãªã„ã¨æ›¸ã‘ãªã„ï¼ã¨ã„ã†äººã¯ã‚³ãƒ¡ãƒ³ãƒˆã§ä¸»å¼µã—ã¦ãŠãã¾ã—ょã†ã€‚指åã•ã‚ŒãŸç¿Œæ—¥ã«ãƒ–ãƒã‚°ã®ã‚¨ãƒ³ãƒˆãƒªã‚’書ãã¾ã—ょã†ã€‚都åˆãŒæ‚ªã„å ´åˆã¯ã€ä»£ã‚ã‚Šã®äººã‚’探ã—ã¦ãã ã•ã„。次ã®
GitHub - amoffat/Inspect-Shell: Inspect Shell lets you easily use a shell to inspect a process as it's running
Inspect Shell lets you easily use a shell to inspect a process as it's running
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PEP 553 – Built-in breakpoint() | peps.python.org
Welcome lakehouseweek.com - BlueHost.com
Encapsulation in Python
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Load Faster in Python With Compressed Pickles
https://docs.google.com/viewer?a=v&q=cache:XF3L9dcC2mUJ:infohost.nmt.edu/tcc/help/lang/python/2_6_3/distutils.pdf+filetype:pdf+%22Distributing+Python+Modules%22+%22Release+2.6%22&hl=en&pid=bl&srcid=ADGEESgzn36d5qSwDnkebsLNXEfFRQMArofIfiDjo40s9OO4roGJPwzyS
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