Python tools namespaces in the form of dictionaries. It maintains a name-to- object mapping where names act as keys and the objects as values. Multiple namespaces may have the same name but pointing to a different variable. Check out numerous samples of namespaces for farther clarity.
The conception of namespaces isn't limited to any particular programming language. C/ C and Java also have it where it works as a means to distinguish between different sections of a program.
The body of a section may correspond of a system, or a function, or all the styles of a class. So, a namespace is a practical approach to define the compass, and it helps to avoid name conflicts.
While in Python, the namespace is a abecedarian idea to structure and organize the law, especially more useful in large systems. Still, it could be a bit delicate conception to grasp if you ’re new to programming. Hence, we tried to make namespaces just a little easier to understand.
Scope
Variables can only reach the area in which they're defined, which is called scope. Suppose of it as the area of law where variables can be used. Python supports global variables ( usable in the entire program) and original variables.
In Python, variables are just not accessible from the class they've been declared in. To know where variables live in a program and how to pierce them depends on how they've been declared. The part of the program where variables, functions, and objects are fluently accessible is generally appertained to as scope in Python.
Types of Scopes in Python
In Python, there are four types of reaches, which are as follows
Global Scope
Global Scope refers to the names of variables which are defined in the main body of a program. These are visible and penetrated throughout the program. The variables or objects declared in the global Scope are fluently accessible to all functions within the program. Let’s understand the global Scope with the help of a law.
Original scope
Enclosing scope
Erected-in scope
