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Getting indices of True values in a boolean list
...return a list of all the switches that are on. Here "on" will equal True and "off" equal False . So now I just want to return a list of all the True values and their position. This is all I have but it only return the position of the first occurrence of True (this is just a portion of my code...
How can I read SMS messages from the device programmatically in Android?
I want to retrieve the SMS messages from the device and display them?
11 Answers
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Installing a local module using npm?
...roject-dir
$ npm link ../package-dir
This is equivalent to using two commands above under the hood.
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How to create a hex dump of file containing only the hex characters without spaces in bash?
...te an unmodified hex dump of a binary file in Linux using bash? The od and hexdump commands both insert spaces in the dump and this is not ideal.
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Rotate axis text in python matplotlib
.... Its a time stamp, so as the number of samples increase, they get closer and closer until they overlap. I'd like to rotate the text 90 degrees so as the samples get closer together, they aren't overlapping.
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List of macOS text editors and code editors [closed]
I searched for this and found Maudite's question about text editors but they were all for Windows.
39 Answers
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iOS 7 parallax effect in my view controller
...p for iOS 7 in Objective-C. I've got a screen in my app with a few buttons and a pretty background image. (It's a simple xib with UIButtons on top of a UIImageView .)
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How do you compare structs for equality in C?
How do you compare two instances of structs for equality in standard C?
11 Answers
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When to use an interface instead of an abstract class and vice versa?
...ric OOP question. I wanted to do a generic comparison between an interface and an abstract class on the basis of their usage.
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In-place type conversion of a NumPy array
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You can make a view with a different dtype, and then copy in-place into the view:
import numpy as np
x = np.arange(10, dtype='int32')
y = x.view('float32')
y[:] = x
print(y)
yields
array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.], dtype=float32)
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