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In which case do you use the JPA @JoinTable annotation?
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361
EDIT 2017-04-29: As pointed to by some of the commenters, the JoinTable example does not need ...
Proper SCSS Asset Structure in Rails
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edited Jan 28 '13 at 16:46
answered Feb 12 '12 at 8:38
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Overloaded method selection based on the parameter's real type
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answered Oct 15 '09 at 13:28
Michael BorgwardtMichael Borgwardt
320k7373 gold badges453453 silver badges688688 bronze badges
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vim deleting backward tricks
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answered Sep 3 '09 at 15:01
Lucas OmanLucas Oman
14.4k22 gold badges4242 silver badges4545 bronze badges
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Twitter Bootstrap 3.0 how do I “badge badge-important” now
...h!</span>
Or where things are bigger:
<div style="font-size: 36px"><!-- pretend an enclosing class has big font size -->
<span class="label label-success label-as-badge">Yay! Rah!</span>
</div>
11/16/2015: Looking at how we'll do this in Bootstrap 4...
Upgrade python in a virtualenv
... you may have some problems if you change from python 2.6 to 2.7 or 2.7 to 3.x but if you just upgrade inside the same version (staying at 2.7 as you want) you shouldn't have any problem, as all the packages are held in the same folders for both python versions (2.7.x and 2.7.y packages are inside y...
Simple proof that GUID is not unique [closed]
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30 Answers
30
Active
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Convert base64 string to ArrayBuffer
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edited Oct 30 '19 at 11:00
Massimiliano Kraus
3,06344 gold badges1919 silver badges3636 bronze badges
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How are multi-dimensional arrays formatted in memory?
...eter, bad things are going to happen. Here's a quick example:
int array1[3][2] = {{0, 1}, {2, 3}, {4, 5}};
In memory looks like this:
0 1 2 3 4 5
exactly the same as:
int array2[6] = { 0, 1, 2, 3, 4, 5 };
But if you try to pass array1 to this function:
void function1(int **a);
you'll ge...
python pandas: Remove duplicates by columns A, keeping the row with the highest value in column B
...]: df.drop_duplicates(subset='A', keep="last")
Out[10]:
A B
1 1 20
3 2 40
4 3 10
You can do also something like:
In [12]: df.groupby('A', group_keys=False).apply(lambda x: x.loc[x.B.idxmax()])
Out[12]:
A B
A
1 1 20
2 2 40
3 3 10
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