Feb 26, 2013 · Python, creating objects. Ask Question Asked 12 years, 1 month ago. Modified 6 years, 9 months ago. Viewed ...

May 24, 2015 · Python creating multiple instances for a single object/class. 4. Creating instances in a loop with ...

Apr 12, 2012 · If you have objects with the names object_1, object_2 etc. and want to perform common operations on all these objects, this is a clear sign that you should actually be using a list objects, and use loops to perform the common operations.

Feb 1, 2015 · I'm trying to make a list of objects in python. I'm doing this by making one object. You simply can't do this; your second statement contradicts your first statement. You must instantiate as many objects as you wish to have, end of story. Even if you try to use some kind of copy function, it is just creating a new instance for you under the hood.

Creating a dictionary as it has mentioned, but in this case each key has the name of the object name that you want to create. Then the value is set as the class you want to instantiate, see for example:

Dec 24, 2012 · However, in stdlib of both Python 2 and Python 3 there's argparse.Namespace, which has the same purpose: Simple object for storing attributes. Implements equality by attribute names and values, and provides a simple string representation.

May 13, 2010 · There is types.SimpleNamespace class in Python 3.3+: obj = someobject obj.a = SimpleNamespace() for p in params: setattr(obj.a, p, value) # obj.a.attr1 collections.namedtuple, typing.NamedTuple could be used for immutable objects. PEP 557 -- Data Classes suggests a mutable alternative. For a richer functionality, you could try attrs package.

Aug 16, 2014 · There is an existing list of N objects that contain some data, that by creating an BLL object for each existing objects, is parsed to JSON and returned. Random access is not needed, I am looking for a solution to boost parsing process that is being carried out by creating N BLL's. Thought that something like mass object allocation could work.

It is applicable in the case when instances of classes are created that de facto do not participate in reference cycles. This is the case for simple record-like objects. It allows to reduce memory consumption and reduce the time to create objects. Details in my answer below. –

It is easy in Python to declare a class with an __init__() function that can set up the instance for you, with optional arguments. If you don't specify the arguments you get a blank instance, and if you specify some or all of the arguments you initialize the instance.