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sqlite alter table add MULTIPLE columns in a single statement

... | edited Feb 8 '17 at 14:32 Community♦ 111 silver badge answered May 30 '11 at 6:19 ...
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Correct way of using JQuery-Mobile/Phonegap together?

... OctavianOctavian 1,87111 gold badge1212 silver badges66 bronze badges ...
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Relative frequencies / proportions with dplyr

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Get an OutputStream into a String

...charset.Charset. A possible value is java.nio.charset.StandardCharsets.UTF_8. The method toString() accepts only a String as a codepage parameter (stand Java 8). share | improve this answer ...
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Spring RestTemplate - how to enable full debugging/logging of requests/responses?

...etHeaders() ); log.debug("Request body: {}", new String(body, "UTF-8")); log.info("==========================request end================================================"); } private void traceResponse(ClientHttpResponse response) throws IOException { StringBuilder in...
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How many bytes does one Unicode character take?

...for this information. Those are the various unicode encodings, such as utf-8, utf-16le, utf-32 etc. They are distinguished largely by the size of of their codeunits. UTF-32 is the simplest encoding, it has a codeunit that is 32bits, which means an individual codepoint fits comfortably into a codeuni...
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How to remove specific element from an array using python

... | edited May 14 '18 at 14:52 Aran-Fey 27.5k55 gold badges6666 silver badges107107 bronze badges ...
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Does Java SE 8 have Pairs or Tuples?

I am playing around with lazy functional operations in Java SE 8, and I want to map an index i to a pair / tuple (i, value[i]) , then filter based on the second value[i] element, and finally output just the indices. ...
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How can I list (ls) the 5 last modified files in a directory?

... answered Mar 28 '13 at 20:19 Paul RubelPaul Rubel 24.1k77 gold badges5353 silver badges7676 bronze badges ...
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Efficiently checking if arbitrary object is NaN in Python / numpy / pandas?

...= Series([Timestamp('20130101'),np.nan,Timestamp('20130102 9:30')],dtype='M8[ns]') In [25]: s Out[25]: 0 2013-01-01 00:00:00 1 NaT 2 2013-01-02 09:30:00 dtype: datetime64[ns]`` In [26]: pd.isnull(s) Out[26]: 0 False 1 True 2 False dtype: bool ...