Logical Operators — Combining Conditions

You've learned to ask simple True/False questions with comparison operators. Now it's time to ask more complex questions. "Is this value between 5 and 10?" That's not one comparison—it's two comparisons combined: "Is it greater than 5 AND less than 10?"

Logical operators let you combine True/False values (or comparisons) into more sophisticated reasoning. They're the foundation for all decision-making in Chapter 22's control flow.

What It Is: Combining True/False Values

A logical operator combines two True/False conditions into a single True/False result. There are three logical operators:

• and — True only if both conditions are True
• or — True if at least one condition is True
• not — Reverses the value (True becomes False, False becomes True)

With these three operators, you can express complex logic: "Is the user logged in AND has been a member for 7+ days?" or "Does the password have 8+ characters OR has the user verified their email?"

The Three Logical Operators

AND: Both Conditions Must Be True

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The and operator has a simple rule: it returns True only if both conditions are True. If even one is False, the whole expression is False. This is useful for checking multiple requirements.

💬 AI Colearning Prompt

"Why does Python short-circuit evaluation with and? In other words, if the first condition is False, why does Python stop checking the second condition? What's the advantage?"

This question digs into how Python optimizes logical evaluation—a valuable understanding for later performance considerations.

OR: At Least One Condition Must Be True

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The or operator returns True if at least one condition is True. It's False only when both are False. Use or when you want to check if any of multiple conditions is satisfied.

🎓 Expert Insight

In AI-native development, you don't memorize truth tables. You think about the real-world logic: "AND means both must be satisfied; OR means either one is enough." Once you have that mental model, the logic follows naturally. If you get confused, ask AI: "Should I use and or or here?" and explain your logic.

NOT: Reversing a Value

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The not operator is the simplest: it just flips the value. If the condition is True, not condition is False. If it's False, not condition is True.

🤝 Practice Exercise

Ask your AI: "Create a truth table showing all combinations of and, or, and not operators. Then explain: What's the relationship between not (x and y) and (not x) or (not y)? Why does this matter?"

Expected Outcome: You'll see that logical operators follow mathematical laws (De Morgan's Laws); understand that different expressions can be logically equivalent; see how logic works systematically, not randomly.

Combining Comparisons with Logical Operators

Now let's combine what you learned in Lesson 2 (comparisons) with logical operators.

Checking if a Value is in a Range

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These are the kinds of conditions you'll use constantly in Chapter 22 when writing if statements.

Real-World Permission Logic

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Notice how parentheses control the order of evaluation. (is_admin or is_moderator) and account_active evaluates the OR part first, then checks if the account is active.

Evaluation Order Matters

When you combine multiple logical operators, Python evaluates them in a specific order: not first, then and, then or.

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This is why using parentheses is smart—even when not required, they make your intent clear to anyone reading your code (including yourself three months from now).

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Try With AI

Ready to combine conditions with and, or, and not operators?

🔍 Explore Logical Operator Behavior:

"Explain and, or, and not operators with truth tables. For each operator, show me 3 examples combining boolean values and explain the result. Why does 'True and False' return False but 'True or False' returns True? Include short-circuit evaluation: does 'False and expensive_function()' call the function?"

🎯 Practice Access Control Logic:

"Create access control for premium content. Users can access if: (is_subscriber AND is_active) OR is_admin. Test these 3 cases: (1) subscriber=True, active=True, admin=False, (2) subscriber=False, active=False, admin=True, (3) subscriber=True, active=False, admin=False. Show the step-by-step evaluation. Then compare to this modified rule: (is_subscriber OR is_admin) AND is_active. How do results change?"

🧪 Test Operator Precedence:

"Compare these two rules for an admin with inactive account (subscriber=False, active=False, admin=True): Rule A: is_subscriber AND is_active OR is_admin, Rule B: (is_subscriber OR is_admin) AND is_active. Which grants access and which denies? Show me how parentheses change the evaluation order. Which rule is more secure for access control?"

🚀 Apply to Your Business Logic:

"I'm building [describe your system]. Help me write multi-condition logic for: user permissions, eligibility checks, validation rules, or workflow conditions. For each rule, combine conditions with and, or, not. Add parentheses to make precedence clear. Explain why each condition is necessary."

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