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What goes into your .gitignore if you're using CocoaPods?
I've been doing iOS development for a couple of months now and just learned of the promising CocoaPods library for dependency management.
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Why use 'git rm' to remove a file instead of 'rm'?
...use git rm --cached which will remove the file from the index (staging it for deletion on the next commit), but keep your copy in the local file system.
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Internet Explorer 11 detection
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Edit 18 Nov 2016
This code also work (for those who prefer another solution , without using ActiveX)
var isIE11 = !!window.MSInputMethodContext && !!document.documentMode;
// true on IE11
// false on Edge and other IEs/browsers.
Original Answe...
ActionController::InvalidAuthenticityToken
Below is an error, caused by a form in my Rails application:
24 Answers
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How to launch an Activity from another Application in Android
...but I didn't find a way of doing it. Is there a link, where to find the information?
12 Answers
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Ruby Regexp group matching, assign variables on 1 line
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You don't want scan for this, as it makes little sense. You can use String#match which will return a MatchData object, you can then call #captures to return an Array of captures. Something like this:
#!/usr/bin/env ruby
string = "RyanOnRails: T...
Sass combining parent using ampersand (&) with type selectors
...e Sass 3.3.0.rc.1 (Maptastic Maple).
The @at-root directive causes one or more rules to be emitted at the root of the document, rather than being nested beneath their parent selectors.
We can combine the @at-root directive along with interpolation #{} to arrive at the intended outcome.
SASS
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python numpy ValueError: operands could not be broadcast together with shapes
In numpy, I have two "arrays", X is (m,n) and y is a vector (n,1)
6 Answers
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How to use RSpec's should_raise with any kind of exception?
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expect { some_method }.to raise_error
RSpec 1 Syntax:
lambda { some_method }.should raise_error
See the documentation (for RSpec 1 syntax) and RSpec 2 documentation for more.
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Find nearest value in numpy array
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import numpy as np
def find_nearest(array, value):
array = np.asarray(array)
idx = (np.abs(array - value)).argmin()
return array[idx]
array = np.random.random(10)
print(array)
# [ 0.21069679 0.61290182 0.63425412 ...