code: def from_yaml(cls, yaml_path, **kwargs):
          
          if not yaml:
              raise ImportError("PyYaml is required to use yaml functionality, please install it!")
          with open(yaml_path) as f:
              d = yaml.safe_load(f)
              d = dask.config.expand_environment_variables(d)
              return cls.from_dict(d, **kwargs)
docs: Create cluster with worker pod spec defined by a YAML file
  
          We can start a cluster with pods defined in an accompanying YAML file
          like the following:
  
          .. code-block:: yaml
  
              kind: Pod
              metadata:
                labels:
                  foo: bar
                  baz: quux
              spec:
                containers:
                - image: daskdev/dask:latest
                  name: dask-worker
                  args: [dask-worker, $(DASK_SCHEDULER_ADDRESS), --nthreads, '2', --memory-limit, 8GB]
                restartPolicy: Never
  
          Examples
          --------
          >>> cluster = KubeCluster.from_yaml('pod.yaml', namespace='my-ns')  # doctest: +SKIP
  
          See Also
          --------
          KubeCluster.from_dict