There are four logical operators that work specifically on Boolean values:
- !—the NOT keyword (inverse of the resulting value):
>>> not (5 > 4)
False
Jupyter interprets cells with an exclamation mark at the beginning as Terminal commands, so we can't use it there.
- |—the OR keyword (one or another, or both the values):
>>> (5 > 4) | (6 < 5)
True
- &—the AND keyword (one and another value):
>>> (5 > 4) & (6 < 5)
False
- ^—the XOR keyword (either one or another, but not both of the values):
>>> (5 > 4) ^ (5 < 6)
False
The following are built-in functions that work on Boolean arrays:
- all(): Will return true only if all elements are True
- any(): Will return true if at least one element is True
Python has strong typing—it does not convert data types implicitly. The only exception is tests for True/False: any data type will work as a Boolean in any test, following these general rules: While using variables like that in tests looks nice, be careful; it often introduces bugs, for example, if you mean variable to be None in the tests, but it was returned as an empty string. If you're not sure, better check for a specific value.
Zero (both float and int), empty string, and None behave in tests as False. Anything else behaves as True. Consider this example:
Zero (both float and int), empty string, and None behave in tests as False. Anything else behaves as True. Consider this example:
>>> not ''
True
>>> bool('')
False
We will cover working with arrays and other structures in Chapter 4, Data Structures.