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Bootstrap combining rows (rowspan)
... height:25px;
}
<link href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap.min.css" rel="stylesheet" />
<div class="container">
<h1>Responsive Bootstrap</h1>
<div class="row">
<div class="col-lg-5 col-md-5 col-sm-5 col-xs-5" style="back...
How to iterate for loop in reverse order in swift?
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233
Xcode 6 beta 4 added two functions to iterate on ranges with a step other than one:
stride(from...
Determine device (iPhone, iPod Touch) with iOS
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31 Answers
31
Active
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Backporting Python 3 open(encoding=“utf-8”) to Python 2
I have a Python codebase, built for Python 3, which uses Python 3 style open() with encoding parameter:
6 Answers
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How to install therubyracer gem on 10.10 Yosemite?
...8
bundle install
bundle exec rake clean build binary
gem install pkg/libv8-3.16.14.3-x86_64-darwin-12.gem #note that libv8 version may change, so tab through files in pkg/, also remember to use the one with version specified
then just bundle your project gems
this is the only way it worked for me...
Use a list of values to select rows from a pandas dataframe [duplicate]
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1273
You can use isin method:
In [1]: df = pd.DataFrame({'A': [5,6,3,4], 'B': [1,2,3,5]})
In [2]: d...
how to return index of a sorted list? [duplicate]
...e sorted items in the list. For example, if the list I want to sort is [2,3,1,4,5] , I need [2,0,1,3,4] to be returned.
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How do I get both STDOUT and STDERR to go to the terminal and a log file?
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edited Dec 25 '19 at 23:42
Don Hatch
3,94233 gold badges2121 silver badges3939 bronze badges
answere...
What are the differences between numpy arrays and matrices? Which one should I use?
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hashlash
49944 silver badges1313 bronze badges
answered Apr 11 at 11:52
AksAks
27633 silver badges66 bronze...
What is the equivalent of MATLAB's repmat in NumPy
...h multiple dimensions and gives a similar result to matlab. (Numpy gives a 3d output array as you would expect - matlab for some reason gives 2d output - but the content is the same).
Matlab:
>> repmat([1;1],[1,1,1])
ans =
1
1
Python:
In [46]: a = np.array([[1],[1]])
In [47]: n...
