
As data continues to pervade every sphere of business and scientific inquiry, data scientists are in constant need of robust tools to harness the potential hidden within massive datasets. In the current technological landscape, Apache Spark and Jupyter Notebook have surfaced as pivotal instruments for data science professionals, each with divergent yet compelling capabilities. Apache Spark exemplifies efficiency in Big