What exactly are Python namespaces? Why are they employed?

In Python, a namespace ensures that object names in a programme are unique and may be used without conflict. This enables various namespaces to share the same name and map it to a different object. Here are some examples of namespaces:
Local Namespace refers to names found within a function. The namespace is formed momentarily for a function call and removed after the function returns. Python Course in satara
The Global Namespace contains names from various imported packages/modules used in the current project. This namespace is formed when the package is imported into the script and persists until the script is executed.
Built-in Namespace contains built-in core Python functions as well as built-in names for various sorts of exceptions. Python Classes in satara
The lifespan of a namespace is determined by the scope of objects to which it is assigned. When the scope of an item expires, so does the lifespan of that namespace. As a result, accessing inner namespace objects from an outside namespace is not feasible.

Python namespaces are groupings of diverse objects that are associated with unique names and whose lifespan is determined by the scope of a variable. The scope is a location from which we may access a certain item. There are three degrees of scope: built-in (outermost), global, and local. Python Training in satara

Python uses namespaces. A namespace is a collection of presently declared symbolic names, as well as information on the item that each name refers to. Consider a namespace to be a dictionary in which the keys are the object names and the values are the objects themselves.