# Python Operator Precedence

If you use multiple operators in a single expression, the semantics of that expression depends on the assumed operator precedence. For example, consider the expression `2 + 4 * 0`. Does Python calculate `(2 + 4) * 0` or `2 + (4 * 0)`? Depending on the operator precedence, the result would be 0 or 2.

The following code shows the correct precedence for this example:

```>>> 2 + 4 * 0
2
>>> (2 + 4) * 0
0
>>> 2 + (4 * 0)
2```

To avoid any confusion, Python formally defines the operator precedence of all operators. Let’s have a look at the table next!

## Python Operator Precedence Table

The following table describes Python’s operator precedence relationship, from highest to lowest precedence.

Operators in the same row have the same precedence. For example, comparisons, membership, and identity have the same precedence. In case of a conflict, they have a left-to-right precedence resolution scheme. In other words, the left operator has precedence over the right operator if both have the same theoretical precedence level.

## Python Operator Precedence Examples

Let’s dive into some examples next.

### Parentheses Before Multiplication

The first example shows that parentheses take precedence over multiplication:

```>>> # Parentheses
>>> (2 + 2) * 0
0```

### Exponentiation Before Multiplication

The next example shows that exponentiation takes precedence over multiplication too:

```>>> 2 ** 3 * 2
16```

If instead multiplication took precedence over exponentiation, the result would be `2 ** (3 * 2) == 2 ** 6 == 64`. But this is not the case!

### Same Precedence Level Resolution: From Left to Right

The next example shows that multiplication, division, modulo, and integer division have the same precedence level. In that case, precedence is resolved from left to right!

```>>> 2 * 3 // 2
3```

Note that in the previous example, the integer division operation didn’t take precedence or Python would have calculated `2 * (3 // 2) == 2 * 1 ==2`.

### Arithmetic Operations Before Identity

Identity has a pretty low precedence level, so all arithmetic operations take precedence over it. In the following example, you can see that the multiplication operation `2 * 3` takes precedence before the `is` operator:

```>>> 2 * 3 is 3
False```

The output clearly indicates that Python didn’t calculate `2 * (3 is 3)` because this would’ve yielded `2 * True == 2`:

```>>> 2 * (3 is 3)
2```

### Identity and Membership Have the Same Precedence Level

Both the identity operator and the membership operator both have the same low hierarchical level in the precedence table.

Here’s an example:

```>>> 2 in [1, 2] is [1, 2]
False```

This means that the resolution was done from left to right: `2 in [1, 2] is [1, 2] == True is [1, 2] == False`. Otherwise, Python would’ve raised an error:

```>>> 2 in ([1, 2] is [1, 2])
Traceback (most recent call last):
File "<pyshell#34>", line 1, in <module>
2 in ([1, 2] is [1, 2])
TypeError: argument of type 'bool' is not iterable```

## Python Precedence of Logical Operators

The three logical operators `not`, `and`, `or` have this exact precedence ordering.

1. `not` takes precedence over `and`.
2. `and` takes precedence over `or`.

The first rule is exemplified in this code snippet where Python computes `(not False) and False == True and False == False` and not `not (False and False == not False == True. `

```>>> not False and False
False```

The second rule is exemplified in this code snippet where Python computes `True or (False and False) == True or False == True` and not `(True or False) and False == True and False == False`.

```>>> True or False and False
True```

Of course, it follows from the two above rules that logical `not` takes precedence over logical `or`.

## Python Precedence and Associativity

Associativity defines the order in which an expression with multiple operators of the same precedence level are evaluated. For example, multiplication and integer division have the same precedence level. Python resolves this by going from left to right in the expression and evaluating the left operator first and the right operator second.

The following example shows that Python first evaluates the multiplication `2 * 3` and only then applies the integer division `6 // 2 == 3`.

```>>> 2 * 3 // 2
3```

Note that the output would’ve been different if Python had evaluated `3 // 2` first which equals `1`. The multiplication `2 * 1` yielded `2` which is not what we’ve seen in the code output.

## Python Precedence Chart

The following precedence chart from here shows the precedence table in an easy-to-grasp `.jpg`:

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