Differences between sorted and sort in python

certainly! in python, `sorted()` and `sort()` are both used to sort data, but they have important differences in terms of their usage and behavior. here’s a detailed tutorial on both:

### `sorted()`

- **type**: built-in function
- **return value**: returns a new sorted list from the elements of any iterable (like lists, tuples, strings, etc.)
- **original data**: does not modify the original iterable; it creates a new sorted list.
- **usage**: can be used with any iterable, not just lists.

**syntax**:

### `sort()`

- **type**: list method
- **return value**: returns `none`. the list is sorted in place, meaning it modifies the original list and does not create a new one.
- **original data**: modifies the original list in place.
- **usage**: only applicable to lists.

**syntax**:

### key parameters
both methods accept the following optional parameters:
- **`key`**: a function that serves as a key for the sort comparison.
- **`reverse`**: a boolean value. if set to `true`, the list elements are sorted in descending order.

### code examples

#### example 1: using `sorted()`

in this example, `numbers` remains unchanged, while `sorted_numbers` contains the new sorted list.

#### example 2: using `sort()`

here, the `numbers` list is sorted in place, and the original list is modified.

#### example 3: using the `key` parameter

you can use the `key` parameter to sort based on different criteria.

#### example 4: sorting in descending order

### summary of differences

| feature | `sorted()` | `sort()` |
|-----------------|------------------------------------|------------------------------------|
| type | built-in function | list method |
| return value | new sorted list | `none` (modifies in place) |
| modifies original| no | yes |
| applicable to | any ...

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