Running pyspark jobs on EMR serverless with libraries/dependencies for optimized performance

Hey Guys

I want to run my pyspark on EMR Serverless but it has some dependencies/libraries which are needed by the pyspark script to run. Please suggest a optimized approach to import the libraries/dependencies on EMR Serverless. I want to run the jobs with minimum run time possible.

Thanks