Real Python: Namespaces in Python

Python namespaces map names to objects, like dictionaries, preventing naming conflicts. This tutorial explores different namespace types: built-in, global, local, and enclosing. Namespaces organize variables and functions within dedicated spaces, enhancing code management and modularity. The scope defines where a name is accessible, differing from a namespace's name-to-object mapping. Python implements namespaces as dictionaries, tying their lifecycle to the execution context. The built-in namespace contains Python's built-in objects, always available during interpreter runtime. The global namespace holds module-level names, persisting until the interpreter ends. Each module has its own global namespace, created upon import. Understanding namespaces improves code organization, prevents name clashes, and supports scope concepts. The tutorial assumes familiarity with Python variables and functions.