What are the best practices for managing variable lifetime in Python?

What are the best practices for managing variable lifetime in Python?

In Python, variable lifetime is crucial for memory management. Best practices include using local variables, understanding scope, and utilizing garbage collection.

Can you explain the difference between local and global variables?

Sure! Local variables are defined within a function and only exist during its execution, while global variables are defined outside any function and can be accessed anywhere in the code.

How does garbage collection work in Python?

Python uses automatic garbage collection to manage memory. It tracks object references and frees memory when objects are no longer in use.

What are some common mistakes to avoid with variable lifetime?

Common mistakes include creating unnecessary global variables, failing to release resources, and not understanding the scope of variables.