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Requirejs domReady plugin vs Jquery $(document).ready()?
...as wrapping its code inside a domReady() function call.
Furthermore, this means that domReady! enjoys that same advantage over $(document).ready().
Re the differences between domReady and $(document).ready()
Both sniff out whether/when the DOM is ready in essentially the same way.
Re fear of jQu...
Which HTML elements can receive focus?
...
":focus" means the element is currently focused, not that it's focusable
– jwebb
Nov 24 '17 at 19:37
add a co...
MVC4 DataType.Date EditorFor won't display date value in Chrome, fine in Internet Explorer
... the beginning, that @Value = @Model.Property... still need that @? Do you mean just new { Value = Model.Property...?
– user3454439
Jun 15 '18 at 4:20
add a comment
...
how do I initialize a float to its max/min value?
... you might want to clarify that numeric_limits<float>::min() doesn't mean most negative value, it means smallest positive.
– MSN
Apr 21 '10 at 16:35
13
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What is the http-header “X-XSS-Protection”?
...ed XSS (infosecisland.com/blogview/…), also because it does not have any mean to detect Stored XSS (also called Persistent XSS).
– Luca Invernizzi
Jul 21 '12 at 2:31
11
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Django Model - Case-insensitive Query / Filtering
...
Would you please explain what "substring search" means?
– Rishabh Agrahari
Jan 28 '17 at 12:45
4
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Bootstrap 3 Navbar with Logo
...e images in columns or something that has an explicit with set. This would mean that 100% specifically means 100% width of the parent element.
.img-responsive
max-width: 100%;
height: auto;
}
The reason we can't use that with the navbar is because the parent (.navbar-bran...
What are deferred objects?
...function.
*
* This one has two underlying lists with different semantic meanings. You
* can bind to both the done callbacks and the fail callbacks then either
* resolve or reject your Deferred object.
*
* You can check whether it has been resolved or rejected. useful to see
* Afterwards ...
pandas DataFrame: replace nan values with average of columns
... 1.948430 1.025011 -2.982224
9 0.019698 -0.795876 -0.046431
In [28]: df.mean()
Out[28]:
A -0.151121
B -0.231291
C -0.530307
dtype: float64
In [29]: df.fillna(df.mean())
Out[29]:
A B C
0 -0.166919 0.979728 -0.632955
1 -0.297953 -0.912674 -1.365463
2 -0.120211 -0...
Is there a library function for Root mean square error (RMSE) in python?
I know I could implement a root mean squared error function like this:
12 Answers
12
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