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Values of disabled inputs will not be submitted

... | edited Jul 7 '19 at 18:31 Peter Mortensen 26.5k2121 gold badges9292 silver badges122122 bronze badges ...
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Positioning a div near bottom side of another div

... Tested and working on Firefox 3, Chrome 1, and IE 6, 7 and 8: <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html><body> <div style='background-color: yellow; width: 70%; height: 100p...
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SCOPE_IDENTITY() for GUIDs?

...differently anyway. – Shiv May 14 '18 at 0:58 The OUTPUT clause gives an error on any table that has an insert trigger...
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Rails: Open link in new tab (with 'link_to')

... 8 You can also use target: :_blank instead of target: '_blank' <%= link_to image_tag("facebook...
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How to store CGRect values in NSMutableArray?

... 289 You need to wrap the CG structures in NSValue classes. So: NSMutableArray* array = [NSMutableA...
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How to pass payload via JSON file for curl?

... Yves M. 24.5k1919 gold badges8989 silver badges118118 bronze badges answered Sep 4 '13 at 12:54 matamata 56...
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What is a Proxy in Doctrine 2?

...e @Kontrollfreak's answer for more details: https://stackoverflow.com/a/17787070/252591 Proxy objects are used whenever your query doesn't return all data required to create an entity. Imagine following scenario: @Entity class User { @Column protected $id; @Column protected $username;...
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How to initialize an array in one step using Ruby?

... the other answers above, note also that you can use enumerators in Ruby 1.8.7+ to create arrays; for example: array = 1.step(17,3).to_a #=> [1, 4, 7, 10, 13, 16] share | improve this answer ...
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Benchmarking (python vs. c++ using BLAS) and (numpy)

... 58 I've run your benchmark. There is no difference between C++ and numpy on my machine: Do yo...
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Assign pandas dataframe column dtypes

...= pd.DataFrame({'x': {0: 'a', 1: 'b'}, 'y': {0: '1', 1: '2'}, 'z': {0: '2018-05-01', 1: '2018-05-02'}}) df.dtypes x object y object z object dtype: object df x y z 0 a 1 2018-05-01 1 b 2 2018-05-02 You can apply these to each column you want to convert: df["y"] = ...