
In the thriving world of data science, the competition among programming languages remains fierce, with Python, R, and SQL leading the charge. As the data science industry progresses toward an estimated valuation of $378 billion, these languages play critical roles in the field’s expansion and intricacies. Data scientists depend significantly on these languages to tackle diverse challenges, both in application










