Sabbir02 opened a new issue, #45866:
URL: https://github.com/apache/airflow/issues/45866

   ### Description
   
   The current implementation of the Papermill operator lacks the capability to 
connect with externally managed kernels, limiting its use to local kernel 
execution. This enhancement enables the operator to support running notebooks 
with externally managed kernels like Spark or Scala, improving flexibility and 
integration with Kubernetes for a smoother experience in Airflow.
   
   ### Use case/motivation
   
   
   This update allows Apache Airflow's Papermill operator to run Jupyter 
notebooks with various kernels, such as Spark or Scala, in addition to Python. 
This flexibility is crucial for teams working with diverse data processing 
tasks and multi-language environments, enabling smoother workflows and better 
integration between different systems. It enhances Airflow's versatility and 
ensures that users can execute complex tasks without being limited to just 
Python notebooks.
   
   ### Related issues
   
   The implementation has been verified as functional (see issue #35845).
   Included in Airflow version 2.8.0 
   
   ### Are you willing to submit a PR?
   
   - [ ] 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)
   


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