
Over the past decade, the data science landscape has been dominated by programming languages like Python, R, and SQL. These languages have become integral to processing and analyzing data across various industries. However, with the increasing complexity of computations, the need for faster processing times, and the growth of data volumes, there is a demand for a more efficient programming