"Namespaces are one honking great idea—let’s do more of those! 
-The Zen of Python
In Python, everything is considered as an object, be it a variable, a function or anything.
And every object has a “name” to it which are references to other objects.
We can keep creating hundreds of such objects and all these names need to properly managed.
Enter Namespaces.
Namespaces are essentially a collection of all the names of objects and the elements or objects they refer to.
When you say a = 2, it is stored in the namespace in the form of a dictionary as {‘a’:2}, where “a” is a name of 2.
Now there can be multiple instances of an object named as “a”. How does Python know that when which of the “a” is called?
The answer is, the Scope of the Namespace.
L-The objects defined within a function are in the Local Namespace of that function.
E-Any objects outside of this function act as Enclosing Namespace to the function inside it.
G-All the objects defined at the main function level, or with the “global” declaration (global a = 2) are in the Global Namespace
B-All the pre-loaded objects like the print function are in the Built In Namespace.
When an object is called, it’s searched in this particular order - LEGB.
#python #datascience
