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Python Process Pool non-daemonic?
...to custom can raise error: AssertionError: group argument must be None for now.
Here I found a solution that can help:
class NoDaemonProcess(multiprocessing.Process):
# make 'daemon' attribute always return False
@property
def daemon(self):
return False
@daemon.setter
...
How to check if one DateTime is greater than the other in C#
... new DateTime(2015,1,1);
DateTime end = new DateTime(2015,12,31);
DateTime now = new DateTime(2015,8,20);
if(now.IsBetween(start, end))
{
//Your code here
}
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How to serialize SqlAlchemy result to JSON?
...n json.JSONEncoder.default(self, obj)
return AlchemyEncoder
You can now call it with:
print json.dumps(e, cls=new_alchemy_encoder(False, ['parents']), check_circular=False)
To only expand SQLAlchemy fields called 'parents', for example.
...
Why doesn't print work in a lambda?
...
Now I see why it was such a big deal to make it a function. Wanted to use print as a default kwarg and this fixed it. Thanks.
– Thomas Dignan
Jul 3 '12 at 7:30
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Python __call__ special method practical example
I know that __call__ method in a class is triggered when the instance of a class is called. However, I have no idea when I can use this special method, because one can simply create a new method and perform the same operation done in __call__ method and instead of calling the instance, you can c...
Is errno thread-safe?
... int * __error(void);
#define errno (*__error())
__END_DECLS
So errno is now a function __error(). The function is implemented so as to be thread-safe.
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How do I add custom field to Python log format string?
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Python3
As of Python3.2 you can now use LogRecordFactory
>>> import logging
>>> logging.basicConfig(format="%(custom_attribute)s - %(message)s")
>>> old_factory = logging.getLogRecordFactory()
>>> def record_factory(*ar...
Difference between abstract class and interface in Python
...nd interface is a hairsplitting thing when you have duck typing. I don't know what "substantial" means. It's "real" -- it has substance -- from a design perspective. But from a language perspective there may be no support. You could adopt conventions to distinguish between an abstract class and ...
How to run functions in parallel?
... print(f'{seconds} has been processed')
secs_list = [2,4, 6, 8, 10, 12]
Now, if your operation is IO bound, then you can use the ThreadPoolExecutor as such:
with ThreadPoolExecutor() as executor:
results = executor.map(sleep_secs, secs_list)
Note how map is used here to map your function to ...
mongodb: insert if not exists
... specify what data you want to write:
data = {"$set":{"key2":"value2"}}
Now your selected document will update the value of "key2" only and leave everything else untouched.
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