Explanation: In this example, the comparison operators have higher precedence than the logical operators. So, 5 > 3 is evaluated first, giving us True. Then, 10 < 7 is evaluated, giving us False. Next, 8 == 8 is evaluated, giving us True. Finally, the and operator is evaluated first, then the or operator, giving us the final result of True.

Python exponentiation operator, multiplication and division operators.

Example 3:

result = 3 + 2 * 4 ** 2 / 2 – 1
print(result)

Output: 18.0

Explanation: In this example, the exponentiation operator has higher precedence than the multiplication and division operators. So, 4 ** 2 is evaluated first, giving us 16. Then, 2 * 16 is evaluated, giving us 32. Next, 32 / 2 is evaluated, giving us 16. Finally, the addition and subtraction operators are evaluated from left to right, giving us the final result of 18.0.

Here are some more uses and examples of operator precedence in Python:

Python  multiplication operator and the addition operator

Example 1:

result = (3 + 4j) * 2
print(result)

Output: (6+8j)

Explanation: In this example, the multiplication operator has higher precedence than the addition operator. So, (3 + 4j) is multiplied by 2, giving us (6+8j).

The ( and ) operator has higher precedence than the ( or ) operator

Example 2:

result = True or False and False
print(result)

Output: True

Explanation: In this example, the and operator has higher precedence than the or operator. So, False and False is evaluated first, giving us False. Then, True or False is evaluated, giving us True. This gives us the final result of True.

The parentheses have the highest precedence

Example 3:

result = (10 > 5) or (2 + 2 == 5) and (1 + 1 == 2)
print(result)

Output: True

Explanation: In this example, the parentheses have the highest precedence. So, (10 > 5) is evaluated first, giving us True. Then, (2 + 2 == 5) is evaluated, giving us False. Finally, (1 + 1 == 2) is evaluated, giving us True. The and operator has higher precedence than the or operator, so (2 + 2 == 5) and (1 + 1 == 2) is evaluated first, giving us False. Then, True or False is evaluated, giving us True. This gives us the final result of True.

Here are some more examples of operator precedence in Python:

The comparison operators is higher precedence than the logical operators

Example 1:

result = not 4 < 2 or 2 == 2 and 3 > 4
print(result)

Output: False

Explanation: In this example, the comparison operators have higher precedence than the logical operators. So, 4 < 2 is evaluated first, giving us False. Then, 2 == 2 is evaluated, giving us True. Next, 3 > 4 is evaluated, giving us False. Finally, the and operator is evaluated first, then the or operator, giving us the final result of False.

The multiplication and division operators have the same precedence

Example 2:

result = 10 / 5 + 2 * 3 – 1
print(result)

Output: 9.0

Explanation: In this example, the multiplication and division operators have the same precedence and are evaluated from left to right. So, 10 / 5 is evaluated first, giving us 2. Then, 2 * 3 is evaluated, giving us 6. Finally, the addition and subtraction operators are evaluated from left to right, giving us the final result of 9.0.

The comparison operators and the logical operators

Example 3:

result = 4 > 2 or not 3 == 4 and 5 < 1
print(result)

Output: True

Explanation: In this example, the comparison operators have higher precedence than the logical operators. So, 4 > 2 is evaluated first, giving us True. Then, 3 == 4 is evaluated, giving us False. Next, 5 < 1 is evaluated, giving us False. The not operator has higher precedence than the and operator, so not 3 == 4 is evaluated first, giving us True. Finally, the or operator is evaluated first, then the and operator, giving us the final result of True.