Boolean Expressions

The Python "bool" type (short for "boolean") has only two values - True and False. The bool values typically show up in the tests of if-statements and while-loops.

Boolean Comparisons

Usually a bool is created by comparing two values — e.g. x == y returns True if the values are equal, like this:

1 == 2 → False Equal

1 != 2 → True Not equal

1 < 2 → True Strict less than

2 < 2 → False Strict less than

2 <= 2 → True Less or equal

Unlike many languages, the == and != operators work for any data type — int, string, list, and so on.

The operation of the if-statement and while-loop is based on bool values, but works in a slightly more flexible way. See Truthy Logic for details.

Boolean Operators And Or Not

Boolean values can be combined with the operators and or not, like following (printing 'yay' if x is greater than 0, but not 5 :

if x > 0 and x != 5:
    print('yay')

Python is unique in using the plain words like "and" for this. many languages use "&&" for and, "||" for or.

A and B → True if both are True

A or B → True if one or the other or both are True

not A → Inverts True/False

Boolean Precedence

There is "precedence" between and/or/not, analogous to arithmetic precedence, where "*" has higher precedence than "+".

Precedence order: not is highest precedence, followed by and, followed by or. Mnemonic: not is like unary minus e.g. '-6', and is like * multiplication, or is like + addition.

Q: what does the following do?

if a < 6 and b < 6 or c < 6:

The and goes first (higher precedence), so the above is equivalent to the following form with parenthesis added to show the order the comparisons are evaluated:

if (a < 6 and b < 6) or c < 6:

To force the or to go first, put in parenthesis like this:

if a < 6 and (b < 6  or c < 6):

If you are unsure what order an expression will follow, you can always add parenthesis to force the order you want.

Boolean Short-Circuit

Suppose you have a string s and an index number i, and you want to check if the char at that index is alphabetic .. but only if i is valid. You can write that this way...

if i < len(s) and s[i].isalpha():...

This works because the boolean evaluation goes left to right, stopping ("short-circuiting") as soon as it can. So in the example above, if i < len(s) is False (i.e. i is large), the whole expression evaluates to False. In particular the s[i].isalpha() is not evaluated. Attempting to evaluate it would be an error, since i is too large, creating an IndexError.

Writing the i<len(s) test to the left of the s[i] in effect protects it, and this is a common programming pattern. Most computer languages use short circuiting in the their boolean expressions like this.

Chained Boolean Comparisons

This is a more seldom used feature. Here is code that checks if a number is within the range 0..10 inclusive.

if 0 <= x and x <= 10:

That code is fine, and you can just write it that way. However, Python includes a special shorthand to write the above as you would in a mathematical proof, like this:

if 0 <= x <= 10:

Internally, Python expands the shorthand form to the "and" form shown above.

History: George Boole

In the domain of numbers, we have the familiar rules of algebra. George Boole realized there were analogous Boolean algebra rules for working with True/False expressions. The boolean type is named after him.

In particular De Morgan's law, is a neat rule from Boolean algebra, similar to multiplying a sum by -1:

1. not (A or B) = (not A) and (not B)
2. not (A and B) = (not A) or (not B)

History - 10/2025 add chained section.