### Description

`ShortCircuitOperator` does not return any value regardless of the result. 

Still, if `condition` evaluates to `falsey`, it can be useful to store/save the result of the condition to XCom so that downstream tasks. can use. 
Many objects evaluates to True/False, not just booleans - see  https://docs.python.org/3/library/stdtypes.html

### Use case/motivation

The change is trivial and would allow to combine a Python task and ShortCircuit into one.:

1. if callable returns None (or False) -> skip
2. if callable returns non-empty object (or True) -> continue. The proposed change is to pass on the condition to XCom.

### Related issues

_No response_

### Are you willing to submit a 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)

airflow/operators/python.py
condition = super().execute(context)
        self.log.info("Condition result is %s", condition)
        if condition:
            self.log.info('Proceeding with downstream tasks...')
            return
        self.log.info('Skipping downstream tasks...')
        downstream_tasks = context['task'].get_flat_relatives(upstream=False)
        self.log.debug("Downstream task_ids %s", downstream_tasks)
        if downstream_tasks:
            self.skip(context['dag_run'], context['ti'].execution_date, downstream_tasks)
        self.log.info("Done.")
class PythonVirtualenvOperator(PythonOperator):
    """
    Allows one to run a function in a virtualenv that is created and destroyed
    automatically (with certain caveats).
    The function must be defined using def, and not be
    part of a class. All imports must happen inside the function
    and no variables outside of the scope may be referenced. A global scope
    variable named virtualenv_string_args will be available (populated by
    string_args). In addition, one can pass stuff through op_args and op_kwargs, and one
    can use a return value.
    Note that if your virtualenv runs in a different Python major version than Airflow,
    you cannot use return values, op_args, op_kwargs, or use any macros that are being provided to