Python SQL Logical Operators: AND, OR, NOT & Operator Precedence
Logical operators combine multiple search conditions in a `WHERE` clause: `AND` requires ALL conditions to be true, `OR` requires AT LEAST ONE condition to be true, and `NOT` reverses a condition. Crucially, `AND` has higher precedence than `OR`, requiring parentheses `()` to enforce correct evaluation logic.
"`AND` is two keys required to open a safe; `OR` is having a physical key OR an electronic passcode; Parentheses `()` are mathematical brackets ensuring operations calculate in intended order."
Deep Dive: How It Works
Operator Precedence: `NOT` evaluates first, then `AND`, then `OR`.
The Deadly Precedence Trap: `WHERE role = 'Admin' OR role = 'Manager' AND status = 'active'` evaluates as `role = 'Admin' OR (role = 'Manager' AND status = 'active')`, unintentionally exposing inactive admins!
Fixing with Parentheses: `WHERE (role = 'Admin' OR role = 'Manager') AND status = 'active'`.
Syntax Blueprint
SELECT * FROM table_name WHERE (condition1 OR condition2) AND NOT condition3;
Always group OR conditions inside parentheses when combining with AND.
Core Rules to Remember



Common Beginner Traps & How to Fix Them
Writing `WHERE status = 'active' AND role = 'admin' OR role = 'editor'` without parentheses.Why it happens: Assuming left-to-right evaluation order.
How to fix: Group OR branches explicitly: `WHERE status = 'active' AND (role = 'admin' OR role = 'editor')`.
Live Interactive Example
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Filter with AND, OR, and Parentheses
Select `name` from `vehicles` where `(type = 'Car' OR type = 'Truck') AND available = 1`.
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