### Apache Airflow Provider(s)

amazon

### Versions of Apache Airflow Providers

apache-airflow-providers-amazon==7.1.0

### Apache Airflow version

2.2.2

### Operating System

macOS Ventura 13.1

### Deployment

Docker-Compose

### Deployment details

_No response_

### What happened

When calling GlueJobOperator and passing 
`create_job_kwargs={"Command": {"Name": "pythonshell"}}` I need to specify MaxCapacity and based on the code [here](https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/hooks/glue.py#L127) that's equal to _num_of_dpus_ and that parameter is integer as stated [here](https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/hooks/glue.py#L68) 
Because I want to use pythonshell, AWS Glue offers to setup ranges between 0.00625 and 1 and that can't be achieved with integer. 
`When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.`

I was trying to pass _MaxCapacity_ in `create_job_kwargs={"Command": {"Name": "pythonshell"}, "MaxCapacity": 0.0625}` but it throws the error. 

### What you think should happen instead

I think that parameter _num_of_dpus_ should be type double or MaxCapacity should be allowed to setup as double if pythonshell was selected in Command -> Name.

### How to reproduce

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

aws_conn_id: str = "aws_default",
        region_name: str | None = None,
        s3_bucket: str | None = None,
        iam_role_name: str | None = None,
        create_job_kwargs: dict | None = None,
        run_job_kwargs: dict | None = None,
        wait_for_completion: bool = True,
        verbose: bool = False,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.job_name = job_name
        self.job_desc = job_desc
        self.script_location = script_location
        self.concurrent_run_limit = concurrent_run_limit or 1
        self.script_args = script_args or {}
        self.retry_limit = retry_limit
        self.num_of_dpus = num_of_dpus
        self.aws_conn_id = aws_conn_id
        self.region_name = region_name
        self.s3_bucket = s3_bucket
        self.iam_role_name = iam_role_name
        self.s3_protocol = "s3://"
        self.s3_artifacts_prefix = "artifacts/glue-scripts/"
        self.create_job_kwargs = create_job_kwargs
        self.run_job_kwargs = run_job_kwargs or {}
        self.wait_for_completion = wait_for_completion
        self.verbose = verbose
    def execute(self, context: Context):
        """