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Paging with Oracle
... as familiar with Oracle as I would like to be. I have some 250k records, and I want to display them 100 per page. Currently I have one stored procedure which retrieves all quarter of a million records to a dataset using a data adapter, and dataset, and the dataadapter.Fill(dataset) method on the ...
MySQL connection not working: 2002 No such file or directory
I'm trying to set up WordPress. I have Apache and MySQL running, and the accounts and database are all set up. I tried to make a simple connection:
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How can I open the interactive matplotlib window in IPython notebook?
I am using IPython with --pylab=inline and would sometimes like to quickly switch to the interactive, zoomable matplotlib GUI for viewing plots (the one that pops up when you plot something in a terminal Python console). How could I do that? Preferably without leaving or restarting my notebook.
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Left Align Cells in UICollectionView
...ct a new line by inspecting the Y position of the new element. Very simple and quick in performance.
Swift:
class LeftAlignedCollectionViewFlowLayout: UICollectionViewFlowLayout {
override func layoutAttributesForElements(in rect: CGRect) -> [UICollectionViewLayoutAttributes]? {
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Why are dates calculated from January 1st, 1970?
Is there any reason behind using date(January 1st, 1970) as default standard for time manipulation? I have seen this standard in Java as well as in Python. These two languages I am aware of. Are there other popular languages which follows the same standard?
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restrict edittext to single line
possible duplicate : android-singleline-true-not-working-for-edittext
23 Answers
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How to avoid overflow in expr. A * B - C * D
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Both long long and double are 64 bits. Since double has to allocate some bits for the exponent, it has a smaller range of possible values without loss of precision.
– Jim Garrison
Nov 5 '12 at 19:03
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What's the Best Way to Shuffle an NSMutableArray?
If you have an NSMutableArray , how do you shuffle the elements randomly?
12 Answers
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Automatically expanding an R factor into a collection of 1/0 indicator variables for every factor le
I have an R data frame containing a factor that I want to "expand" so that for each factor level, there is an associated column in a new data frame, which contains a 1/0 indicator. E.g., suppose I have:
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How to calculate moving average using NumPy?
... 16.5, 17.5])
So I guess the answer is: it is really easy to implement, and maybe numpy is already a little bloated with specialized functionality.
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