Knowing when to use Python in SQL Server depends on the specific requirements and tasks you need to accomplish. Python can be used in various scenarios within SQL Server, including data manipulation, data analysis, machine learning, automation, and more. Here are some common use cases where Python can be beneficial:

• Data manipulation and transformation: Python provides powerful libraries like pandas and NumPy, which can be used to perform complex data manipulations, transformations, and cleansing tasks on SQL Server data.
• Data analysis and visualization: Python's libraries, such as matplotlib, seaborn, and plotly, enable you to analyze and visualize SQL Server data to gain insights and make data-driven decisions.
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