Python effectively addresses the management of large datasets through libraries such as Dask and PySpark, specifically designed to handle data distributed across multiple clusters. Dask enables parallel computing, making it suitable for distributed tasks, while PySpark, built on the Apache Spark framework, offers scalability for processing extensive datasets. Additionally, Python’s ecosystem provides tools for seamless integration with big data technologies like Hadoop and Hive, facilitating efficient work with massive datasets and enabling data professionals to extract valuable insights.