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How do I ignore the initial load when watching model changes in AngularJS?
I have a web page that serves as the editor for a single entity, which sits as a deep graph in the $scope.fieldcontainer property. After I get a response from my REST API (via $resource), I add a watch to 'fieldcontainer'. I am using this watch to detect if the page/entity is "dirty". Right now I'm ...
Is there a CSS selector by class prefix?
I want to apply a CSS rule to any element whose one of the classes matches specified prefix.
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Why are unsigned int's not CLS compliant?
Why are unsigned integers not CLS compliant?
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What is the right way to override a setter method in Ruby on Rails?
...by on Rails 3.2.2 and I would like to know if the following is a "proper"/"correct"/"sure" way to override a setter method for a my class attribute.
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How can I obtain the element-wise logical NOT of a pandas Series?
I have a pandas Series object containing boolean values. How can I get a series containing the logical NOT of each value?
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What is causing this ActiveRecord::ReadOnlyRecord error?
This follows this prior question, which was answered. I actually discovered I could remove a join from that query, so now the working query is
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C++11 reverse range-based for-loop
Is there a container adapter that would reverse the direction of iterators so I can iterate over a container in reverse with range-based for-loop?
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REST response code for invalid data
What response code should be passed to client in case of following scenarios?
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Insert Unicode character into JavaScript
I need to insert an Omega (Ω) onto my html page. I am using its HTML escaped code to do that, so I can write Ω and get Ω. That's all fine and well when I put it into a HTML element; however, when I try to put it into my JS, e.g. var Omega = Ω , it parses that code as JS and th...
How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly
I have a dataframe with ~300K rows and ~40 columns.
I want to find out if any rows contain null values - and put these 'null'-rows into a separate dataframe so that I could explore them easily.
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