1. Bool operators and, or, not
Decisions
Bool operators and, or, not

2. Boolean operators
In Python, not, and and or are Boolean or logical operators
Note that is NOT the same as the relational operators
Boolean operators operate ONLY on Bool values and produce Bool values
and and or are used to combine two Bools into one
not is a unary operator, it reverses a Bool to the opposite value
Their priority is lower than the relational operators
Their individual priorities are not followed by and followed by or.
The truth tables on the next slide show how they operate, their semantics.

3. Truth Tables P Q
P and Q
P or Q T F P
not P T F

4. Examples Given that x is 5, y is 9.2, z is 0
x + 5 > y * 3 and y > z works out as
x + 5 > 27.6 and y > z (* done first)
10 > 27.6 and y > z (+ done next)
False and y > z (relationals done left to right)
False and True (second relational done)
False (result of and)

5. Cautions
In most languages the expression 5 < y < 10 does not mean what you would think. In Python it does – it is True if y is between 5 and 10. It is the same as saying 5 < y and y < 10
The expression x == 5 or 6 does NOT mean what you would think. In fact it is considered always True in Python. Why? 6 after the or operator is considered a separate value – it is NOT compared to the x. The or operator needs a Bool value there, so it forces (“coerces”) the 6 value to be True (anything not zero is True). And from the truth table for or, you can see that anything or True is True! To have the interpreter see it correctly, you write it as x == 5 or x == 6

6. Always True or Always False
You can easily write expressions which are always True or always False. This is an error. The interpreter will not tell you about them.
Always True: x > 5 or x < 8
Always False: y > 10 and y < 0
Always True: y != 10 or y != 5