In Python, a scope defines the region of code where an object remains valid and accessible. Every object in Python operates within its designated scope. Namespaces are used to uniquely identify objects within a program, and each namespace is associated with a specific scope where objects can be used without any prefix. The scope of a variable determines its accessibility and lifespan.
Let’s explore the different scopes created during code execution:
- Local scope: This refers to the objects that are defined within the current function and are accessible only within that function.
- Global scope: Objects in the global scope are available throughout the execution of the code.
- Module-level scope: This scope encompasses global objects that are associated with the current module in the program. These objects are accessible within the module.
- Outermost scope: This refers to all the built-in names that can be called from anywhere in the program.
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