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Using Linq to group a list of objects into a new grouped list of list of objects
... it's work fine but i have one question suppose in the group up to 8 value and i want to just need in every group with just 6 take so how can do that please let me know.
– coderwill
Jun 28 '17 at 11:42
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How can I disable editing cells in a WPF Datagrid?
I'm constructing a datagrid in Windows Presentation Foundation, and I have a problem. When a user double-clicks on a cell in my datagrid, the cell goes into edit mode. I want to prevent that. Instead I want users to be able to select the full row - not edit values in it.
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shortcut for creating a Map from a List in groovy?
I'd like some sorthand for this:
8 Answers
8
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How can I check if a method is static using reflection?
...ods of a class, how can I do this?
Or, how to differentiate between static and non-static methods.
3 Answers
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Check if multiple strings exist in another string
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Not sure I understand, if a is the list, and str is the thing to match against, what is the x? Python newbie ftw. :)
– red
Nov 13 '13 at 14:01
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Intellij IDEA generate for-each/for keyboard shortcut
Is there a keyboard shortcut generating a foreach and also for loop?
7 Answers
7
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Redis cache vs using memory directly
I have not used Redis yet, but I heard about it and plan to try it as cache storing.
2 Answers
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How can I escape double quotes in XML attributes values?
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Explicit and a longer naming convention is better than acronyms or shortened one when naming variables, function, attributes, or etc.; I'll take clarity over brevity anytime - is my unsolicited opinion.
– Daniel ...
Comments in .gitignore?
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@StuartR.Jefferys I'm on git 1.7.4.1 and am finding that a line with a comment at the end does not work: src/main/log/ # Doesn't work. git status still shows this directory src/main/log/ Works fine. git status does not show the directory. In fact, it ap...
How to normalize an array in NumPy?
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import numpy as np
from sklearn.preprocessing import normalize
x = np.random.rand(1000)*10
norm1 = x / np.linalg.norm(x)
norm2 = normalize(x[:,np.newaxis], axis=0).ravel()
print np.all(norm1 == norm2)
# True
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