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How to get values from IGrouping
...list.
– Matt Smith
Apr 22 '16 at 14:09
3
@MorgoZ, OrderBy(x => x.id) will sort them in ascendi...
XPath: How to select nodes which have no attributes?
...ath, how to select nodes which have no attributes (where attribute count = 0)?
3 Answers
...
Patterns for handling batch operations in REST web services?
...ce. For example, to delete several messages at once.
DELETE /mail?&id=0&id=1&id=2
It's a little more complicated to batch update partial resources, or resource attributes. That is, update each markedAsRead attribute. Basically, instead of treating the attribute as part of each resourc...
How do I restore a missing IIS Express SSL Certificate?
...
answered Nov 18 '13 at 13:08
Chris SimmonsChris Simmons
6,01855 gold badges2828 silver badges4545 bronze badges
...
Unbalanced calls to begin/end appearance transitions for
... |
edited Oct 28 '19 at 10:43
answered Oct 25 '11 at 8:03
...
emacs/elisp: What is the hash (pound, number sign, octothorp) symbol used for?
...
101
There is no difference:
(eq 'my-add #'my-add)
yields t
The # can be used in front of a lamb...
What does template mean?
...Factorial<N - 1>::value };
};
template <>
struct Factorial<0>
{
enum { value = 1 };
};
// Factorial<4>::value == 24
// Factorial<0>::value == 1
void foo()
{
int x = Factorial<4>::value; // == 24
int y = Factorial<0>::value; // == 1
}
...
Fixed point vs Floating point number
...d represent would be 99999.99999 and the smallest non-zero number would be 00000.00001. Every bit of code that processes such numbers has to have built-in knowledge of where the decimal point is.
A floating point number does not reserve a specific number of bits for the integer part or the fraction...
Use NUnit Assert.Throws method or ExpectedException attribute?
...actice?
– SamuelDavis
Feb 22 '13 at 0:03
5
@SamuelDavis - in general you wouldn't want to test di...
Python - Create list with numbers between 2 values?
...s to be 16+1 = 17
EDIT:
To respond to the question about incrementing by 0.5, the easiest option would probably be to use numpy's arange() and .tolist():
>>> import numpy as np
>>> np.arange(11, 17, 0.5).tolist()
[11.0, 11.5, 12.0, 12.5, 13.0, 13.5,
14.0, 14.5, 15.0, 15.5, 16....