Allow Arrow Capsule Interface

### Apache Iceberg version

0.10.0 (latest release)

### Please describe the bug 🐞

Due to how `iceberg-python` does checks in certain places, I can't use libraries such as [`arro3`](https://github.com/kylebarron/arro3) or `polars` without having to do a conversion and include `pyarrow` as a dependency. Here is such a case in `table/__init__.py`:

```python
def append(self, df: pa.Table, snapshot_properties: Dict[str, str] = EMPTY_DICT, branch: Optional[str] = MAIN_BRANCH) -> None:
"""
Shorthand API for appending a PyArrow table to a table transaction.

Args:
df: The Arrow dataframe that will be appended to overwrite the table
snapshot_properties: Custom properties to be added to the snapshot summary
branch: Branch Reference to run the append operation
"""
try:
import pyarrow as pa
except ModuleNotFoundError as e:
raise ModuleNotFoundError("For writes PyArrow needs to be installed") from e

from pyiceberg.io.pyarrow import _check_pyarrow_schema_compatible, _dataframe_to_data_files

if not isinstance(df, pa.Table):
raise ValueError(f"Expected PyArrow table, got: {df}")
```

Can this be updated to use the capsule interface: https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html ?

I can create a patch if this is something that will be accepted. Sorry for the new account, due to employer issues I can't use my "regular" one.

### Willingness to contribute

- [x] I can contribute a fix for this bug independently
- [x] I would be willing to contribute a fix for this bug with guidance from the Iceberg community
- [ ] I cannot contribute a fix for this bug at this time

Comece lendo a implementação de append em table/__init__.py e os helpers de compatibilidade e de arquivos de dados de pyiceberg.io.pyarrow referenciados, depois compare suas verificações de entrada com a Arrow PyCapsule Interface. Está concluído quando produtores Arrow compatíveis, como arro3 ou polars, puderem ser usados sem conversão nem uma dependência obrigatória de pyarrow.

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