Scope in Python
Scope defines where a variable is accessible in your code. Python follows the LEGB rule when looking up variable names: Local → Enclosing → Global → Built-in.
Understanding scope prevents bugs and helps write cleaner, more predictable code. We'll explore each level with examples.
Local Scope
Variables defined inside a function are local – only accessible within that function.
Enclosing Scope (Nested Functions)
In nested functions, the inner function can access variables from the outer function.
Global Scope
Variables defined at the top level (outside functions) are global – accessible anywhere.
Modifying Global Variables – global Keyword
To modify a global variable inside a function, use the global keyword.
nonlocal Keyword – For Enclosing Scope
nonlocal lets inner functions modify variables in the enclosing (outer) function.
The LEGB Rule
Python looks up variables in this order:
- Local (inside current function)
- Enclosing (in nested functions)
- Global (module level)
- Built-in (Python's built-in names like print, len)
Common Pitfalls
- UnboundLocalError – reading a variable before assigning in local scope
- Shadowing built-in names (avoid naming variables print, list, etc.)
Quick Quiz
We have reviewed and checked the materials, but errors may still occur. The content is provided for educational purposes only, so use it at your own responsibility and verify with other sources if needed.
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