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What's the difference between django OneToOneField and ForeignKey?

...the name of the reporter. In [8]: A1.reporter.first_name Out[8]: 'Rick' Now create the Reporter object R2 by running the following python code. In [9]: R2 = Reporter.objects.create(first_name='Harry') In [10]: R2.save() Now try to add R2 to the Article object A1. In [13]: A1.reporter.add(R2)...
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How do I run Python code from Sublime Text 2?

... {"keys": ["ctrl+shift+c"], "command": "exec", "args": {"kill": true} } Now, you can use ctrl+shift+c instead of CTRL+BREAK share | improve this answer | follow ...
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How do you run a Python script as a service in Windows?

... as an option. I have not yet tried this solution, but I will do so right now and update this post along the process. I am also interested in using virtualenvs on Windows, so I might come up with a tutorial sooner or later and link to it here. ...
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How can I get the current screen orientation?

...se note that getOrient.getWidth() and getOrient.getHeight() are deprecated now. – valerybodak Mar 27 '15 at 7:31 Shoul...
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Is this object-lifetime-extending-closure a C# compiler bug?

...ernal static void StaticMethod(double arg) { } } } in cl: (Note !! now the this reference is gone !) public hidebysig instance void InstanceMethod () cil managed { // Method begins at RVA 0x2074 // Code size 56 (0x38) .maxstack 4 .locals init ( ...
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correct way to define class variables in Python [duplicate]

..._elem 999 456 >>> print c2.static_elem, c2.object_elem 999 456 # Now, let's try changing the object element c1.object_elem = 888 >>> print c1.static_elem, c1.object_elem 999 888 >>> print c2.static_elem, c2.object_elem 999 456 As you can see, when we changed the class ...
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How do you serialize a model instance in Django?

... assuming obj is your model instance dict_obj = model_to_dict( obj ) You now just need one straight json.dumps call to serialize it to json: import json serialized = json.dumps(dict_obj) That's it! :) share | ...
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Undefined symbols for architecture arm64

...these files to be 64 bit compatible, that seems like a bit of overkill for now. EDIT: Some people also reported that setting Build For Active Architectures to YES was also necessary to solve this problem. As of 2014-04-28 the setting should look something like this: ...
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Share Large, Read-Only Numpy Array Between Multiprocessing Processes

...ing a multiprocessing.RawArray() and mapping NumPy dtype s to ctype s. Now, numpy-sharedmem seems to be the way to go, but I've yet to see a good reference example. I don't need any kind of locks, since the array (actually a matrix) will be read-only. Now, due to its size, I'd like to avoid a ...
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importing pyspark in python shell

... The other solutions didn't work for me. I am using findspark for now in my program. Seems like a decent workaround to the problem. – Analytical Monk Oct 15 '16 at 8:11 ...