### 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)

else:
                    self.log.info(
                        "Polling for AWS Glue Job %s current run state with status %s",
                        job_name,
                        job_run_state,
                    )
                    time.sleep(self.JOB_POLL_INTERVAL)
            finally:
                if verbose:
                    next_log_token = self.print_job_logs(
                        job_name=job_name,
                        run_id=run_id,
                        job_failed=job_failed,
                        next_token=next_log_token,
                    )
    def has_job(self, job_name) -> bool:
        """
        Checks if the job already exists.
        .. seealso::
            - :external+boto3:py:meth:`Glue.Client.get_job`
        :param job_name: unique job name per AWS account
        :return: Returns True if the job already exists and False if not.
        """
        self.log.info("Checking if job already exists: %s", job_name)
        try:
            self.get_conn().get_job(JobName=job_name)
            return True
        except self.get_conn().exceptions.EntityNotFoundException:
            return False
    def update_job(self, **job_kwargs) -> bool: