Improve DataFrame parameter to allow compatible instance types outside pandas (e.g. polars)

### Request

Please improve the DataFrame parameter so that other DataFrame types are supported, in particular **polars**.

### Motivation

Polars is intentionally similar to Pandas, but aims to improve on performance. This is also the main reason for using it in combination with better arrows support.
[https://www.pola.rs/](https://www.pola.rs/)
[Polars API Reference](https://pola-rs.github.io/polars/py-polars/html/reference/)

### Discussion

At the moment the DataFrame parameter is siloed into pandas, even though polars should be a drop in replacement without introducing bugs. Is there no better way of checking that a DataFrame is supplied (is `default.__name__` not sufficient as a check)?

### Code Proposal

A small change like this may be enough?

https://github.com/holoviz/param/blob/ddcd5f36bcff1712f2c7fb984268a0ad6dc9649f/param/__init__.py#L209

```python
if 'polars' in sys.modules:
from polars import (
DataFrame as plDFrame, Series as plSeries
)
if isinstance(v, plDFrame):
params[k] = DataFrame(**kws)
continue
elif isinstance(v, plSeries):
params[k] = Series(**kws)
continue
params[k] = Parameter(**kws)
```

https://github.com/holoviz/param/blob/ddcd5f36bcff1712f2c7fb984268a0ad6dc9649f/param/__init__.py#L1518

```python
def __init__(self, default=None, rows=None, columns=None, ordered=None, **params):
from pandas import DataFrame as pdDFrame
from polars import DataFrame as plDFrame
if isinstance(default, pdDFrame):
dfClass = pdDFrame
elif ifinstance(default, plDFrame):
dfClass = plDFrame
else:
raise ValueError("Value supplied for DataFrame parameter is not a valid type of DataFrame.")
self.rows = rows
self.columns = columns
self.ordered = ordered
super(DataFrame,self).__init__(dfClass, default=default, **params)
self._validate(self.default)
```

I'm not advanced enough to wing the `deserialize` function. Is it as simple as checking for the type of the variable `cls` before deciding to return a pandas or polars DataFrame ?

https://github.com/holoviz/param/blob/ddcd5f36bcff1712f2c7fb984268a0ad6dc9649f/param/__init__.py#L1576

```python
@classmethod
def deserialize(cls, value):
if value == 'null':
return None
if cls.__module__.split('.')[0] == 'pandas':
from pandas import DataFrame as dFrame
elif cls.__module__.split('.')[0] == 'polars':
from polars import DataFrame as dFrame
else:
raise ValueError(
"Cannot Deserialise: Value supplied for DataFrame parameter is not a valid type of DataFrame."
)
return dFrame(value)
```

### P.S.:

The same applies for Series...