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How to enumerate an object's properties in Python?
...oes not return dynamic members (i.e., object attributes and methods dynamically defined by that object's __getattr__() method or similar magic). In all likelihood, your desired file.ImplementationName property is defined dynamically and hence not available to vars() or dir().
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Detect current device with UI_USER_INTERFACE_IDIOM() in Swift
What is the equivalent of UI_USER_INTERFACE_IDIOM() in Swift to detect between iPhone and iPad?
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PHP: exceptions vs errors?
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Exceptions are thrown - they are intended to be caught. Errors are generally unrecoverable. Lets say for instance - you have a block of code that will insert a row into a database. It is possible that this call fails (duplicate ID) - you will want to have a "Error" which in this case is an "Exc...
Set variable in jinja
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Nice shorthand for Multiple variable assignments
{% set label_cls, field_cls = "col-md-7", "col-md-3" %}
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How can I manually generate a .pyc file from a .py file
...n not depend on Python's "import" statement to generate .pyc file automatically
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How to get jQuery dropdown value onchange event
...nswered Nov 12 '13 at 7:00
power_scriptorpower_scriptor
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How do synchronized static methods work in Java and can I use it for loading Hibernate entities?
If I have a util class with static methods that will call Hibernate functions to accomplish basic data access. I am wondering if making the method synchronized is the right approach to ensure thread-safety.
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Dynamically replace the contents of a C# method?
What I want to do is change how a C# method executes when it is called, so that I can write something like this:
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Defining custom attrs
... to use an attr in more than one place I put it in the root element. Note, all attributes share the same global namespace. That means that even if you create a new attribute inside of a <declare-styleable> element it can be used outside of it and you cannot create another attribute with the sa...
How to calculate moving average using NumPy?
...5, 13.5, 14.5, 15.5, 16.5, 17.5])
So I guess the answer is: it is really easy to implement, and maybe numpy is already a little bloated with specialized functionality.
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