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What is /dev/null 2>&1?

... >> /dev/null redirects standard output (stdout) to /dev/null, which discards it. (The >> seems sort of superfluous, since >> means append while > means truncate and write, and either appending to or writi...
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How to check whether a file is empty or not?

... >>> import os >>> os.stat("file").st_size == 0 True share | improve this answer | ...
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How to extract the n-th elements from a list of tuples?

...g this, to prove to myself that I have groked zip...) See it in action: >>> help(zip) Help on built-in function zip in module builtin: zip(...) zip(seq1 [, seq2 [...]]) -> [(seq1[0], seq2[0] ...), (...)] Return a list of tuples, where each tuple contains the i-th el...
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Calling closure assigned to object property directly

... As of PHP7, you can do $obj = new StdClass; $obj->fn = function($arg) { return "Hello $arg"; }; echo ($obj->fn)('World'); or use Closure::call(), though that doesn't work on a StdClass. Before PHP7, you'd have to implement the magic __call method to intercept the ...
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Is there a NumPy function to return the first index of something in an array?

...s the array is 2D. where works on any array, and will return a tuple of length 3 when used on a 3D array, etc. – P. Camilleri Jul 5 '17 at 7:52  |  ...
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How do I calculate the date six months from the current date using the datetime Python module?

...th+6)/12) can buggy, as it generates invalid dates such as (31, 8, 2015) -> (31, 2, 2016) – ohw Jan 16 '16 at 23:40  |  show 4 more comment...
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Good MapReduce examples [closed]

...e In SQL, Given the Date of Birth, to find out How many people are of age > 30 for a million records would take a while, and this would only increase in order of magnitute when the complexity of the query increases. Map Reduce provides a cluster based implementation where data is processed in a ...
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Find row where values for column is maximal in a pandas DataFrame

... Use the pandas idxmax function. It's straightforward: >>> import pandas >>> import numpy as np >>> df = pandas.DataFrame(np.random.randn(5,3),columns=['A','B','C']) >>> df A B C 0 1.232853 -1.979459 -0.573626 1 0.140...
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Convert timedelta to total seconds

... Use timedelta.total_seconds(). >>> import datetime >>> datetime.timedelta(seconds=24*60*60).total_seconds() 86400.0 share | improve this...
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Doing HTTP requests FROM Laravel to an external API

... Take a look at Guzzle $client = new GuzzleHttp\Client(); $res = $client->get('https://api.github.com/user', ['auth' => ['user', 'pass']]); echo $res->getStatusCode(); // 200 echo $res->getBody(); // { "type": "User", .... ...