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How to concatenate strings with padding in sqlite
... can follow along (basically what I proposed) here: http://verysimple.com/2010/01/12/sqlite-lpad-rpad-function/
-- the statement below is almost the same as
-- select lpad(mycolumn,'0',10) from mytable
select substr('0000000000' || mycolumn, -10, 10) from mytable
-- the statement below is almost ...
Good reasons NOT to use a relational database?
...aron: I have one reason: SELECT messages FROM log WHERE (date BETWEEN 2009-01-01 AND 2009-03-01) AND type='error' AND system='windows' :) How would you load that from a text file?
– Tomáš Fejfar
Aug 18 '09 at 10:07
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What is “String args[]”? parameter in main method Java
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answered May 21 '09 at 1:01
Dan LewDan Lew
79.2k2727 gold badges176176 silver badges174174 bronze badges
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Converting numpy dtypes to native python types
...e64(0, 'D').item()) # <class 'datetime.date'>
type(np.datetime64('2001-01-01 00:00:00').item()) # <class 'datetime.datetime'>
type(np.timedelta64(0, 'D').item()) # <class 'datetime.timedelta'>
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(Another method is np.asscalar(val), however it is deprecated since NumPy 1.16).
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Best way to resolve file path too long exception
...t it doesn't make any sense. Why is there a path-size limitation??? it is 2017.
– Jaider
Jan 18 '17 at 19:04
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Logical XOR operator in C++?
...= !(a)
– Chris Lutz
Oct 21 '09 at 0:01
6
@ChrisLutz: yes, but beware of overloaded operators.
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How can I convert JSON to a HashMap using Gson?
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Line
1,20122 gold badges1414 silver badges3232 bronze badges
answered Apr 11 '13 at 7:39
cheritcherit
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How to round up to the nearest 10 (or 100 or X)?
... when x is a vector:
> roundUp(c(0.0023, 3.99, 10, 1003))
[1] 1e-02 1e+01 1e+01 1e+04
..but if you want to round to a "nice" number, you first need to define what a "nice" number is. The following lets us define "nice" as a vector with nice base values from 1 to 10. The default is set to the e...
Efficiently checking if arbitrary object is NaN in Python / numpy / pandas?
...NaT you won't need to specify the dtype)
In [24]: s = 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 ...
How to disable margin-collapsing?
...like a specific choice, not a random browser trickery number, I'd prefer 0.01px.
– Volker E.
Jun 2 at 1:39
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