The notions of comparison, equality, and truth values were introduced in Chapter 9. Because the if statement is the first statement we’ve looked at that actually uses test results, we’ll expand on some of these ideas here. In particular, Python’s Boolean operators are a bit different from their counterparts in languages like C. In Python:

The if statement takes action on truth values, but Boolean operators are used to combine the results of other tests in richer ways to produce new truth values. More formally, there are three Boolean expression operators in Python:

Here, X and Y may be any truth value, or any expression that returns a truth value (e.g., an equality test, range comparison, and so on). Boolean operators are typed out as words in Python (instead of C’s &&, ||, and !). Also, Boolean and and or operators return a true or false object in Python, not the values True or False. Let’s look at a few examples to see how this works:

>>> 2 < 3, 3 < 2        # Less than: return True or False (1 or 0)
(True, False)

Magnitude comparisons such as these return True or False as their truth results, which, as we learned in Chapter 5 and Chapter 9, are really just custom versions of the integers 1 and 0 (they print themselves differently but are otherwise the same).

On the other hand, the and and or operators always return an object—either the object on the left side of the operator or the object on the right. If we test their results in if or other statements, they will be as expected (remember, every object is inherently true or false), but we won’t get back a simple True or False.

For or tests, Python evaluates the operand objects from left to right and returns the first one that is true. Moreover, Python stops at the first true operand it finds. This is usually called short-circuit evaluation, as determining a result short-circuits (terminates) the rest of the expression as soon as the result is known:

>>> 2 or 3, 3 or 2      # Return left operand if true
(2, 3)                  # Else, return right operand (true or false)
>>> [] or 3
3
>>> [] or {}
{}

In the first line of the preceding example, both operands (2 and 3) are true (i.e., are nonzero), so Python always stops and returns the one on the left—it determines the result because true or anything is always true. In the other two tests, the left operand is false (an empty object), so Python simply evaluates and returns the object on the right—which may happen to have either a true or a false value when tested.

Python and operations also stop as soon as the result is known; however, in this case Python evaluates the operands from left to right and stops if the left operand is a false object because it determines the result—false and anything is always false:

>>> 2 and 3, 3 and 2    # Return left operand if false
(3, 2)                  # Else, return right operand (true or false)
>>> [] and {}
[]
>>> 3 and []
[]

Here, both operands are true in the first line, so Python evaluates both sides and returns the object on the right. In the second test, the left operand is false ([]), so Python stops and returns it as the test result. In the last test, the left side is true (3), so Python evaluates and returns the object on the right—which happens to be a false [].

The end result of all this is the same as in C and most other languages—you get a value that is logically true or false if tested in an if or while according to the normal definitions of or and and. However, in Python Booleans return either the left or the right object, not a simple integer flag.

This behavior of and and or may seem esoteric at first glance, but see this chapter’s sidebar Why You Will Care: Booleans for examples of how it is sometimes used to advantage in coding by Python programmers. The next section also shows a common way to leverage this behavior, and its more mnemonic replacement in recent versions of Python.