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Understanding Python's “is” operator
...floats and larger ints aren't interned.
– Magnus Lyckå
Sep 21 '17 at 13:56
2
@MagnusLyckå there...
SQL command to display history of queries
I would like to display my executed sql command history in my MYSQL Query Browser. What is the sql statement for displaying history?
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RE error: illegal byte sequence on Mac OS X
...this may be fine if you needn't match multibyte-encoded characters such as é, and simply want to pass such characters through.
If this is insufficient and/or you want to understand the cause of the original error (including determining what input bytes caused the problem) and perform encoding conv...
How can I get this ASP.NET MVC SelectList to work?
I create a selectList in my controller, to display in the view.
23 Answers
23
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How to prevent http file caching in Apache httpd (MAMP)
... 30 '12 at 15:30
Charlie RudenstålCharlie Rudenstål
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How do I do a case-insensitive string comparison?
...trings in all instances and therefore the normalization needs to be done ('å' vs. 'å'). D145 introduces "canonical caseless matching":
import unicodedata
def NFD(text):
return unicodedata.normalize('NFD', text)
def canonical_caseless(text):
return NFD(NFD(text).casefold())
NFD() is c...
Convert a list to a string in C#
...d Feb 12 '11 at 23:46
Øyvind BråthenØyvind Bråthen
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How to reliably guess the encoding between MacRoman, CP1252, Latin1, UTF-8, and ASCII
...glish Wikipedia articles, the most common non-ASCII characters are ·•–é°®’èö—. Based on this fact,
The bytes 0x92, 0x95, 0x96, 0x97, 0xAE, 0xB0, 0xB7, 0xE8, 0xE9, or 0xF6 suggest windows-1252.
The bytes 0x8E, 0x8F, 0x9A, 0xA1, 0xA5, 0xA8, 0xD0, 0xD1, 0xD5, or 0xE1 suggest MacRoman.
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Elegant Python function to convert CamelCase to snake_case?
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For accepted answer 6.81 µs ± 22.5 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) but for this response 2.51 µs ± 25.5 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) which is 2.5x times faster! Love this!
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List comprehension: Returning two (or more) items for each item
...x)))
return result
%timeit -n100 double_comprehension()
23.4 ms ± 67 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
%timeit -n100 list_extend()
20.5 ms ± 213 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
Python version: 3.8.0
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