Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?

Python is a common data analytics tool that is also used as an interpreted, high-level, general-

purpose programming language. Python has a simple and expressive syntax that makes it easy to

read and write code. Python also has a rich set of libraries and frameworks that support various tasks

and applications in data analytics, such as data manipulation, visualization, machine learning, natural

language processing, web scraping, and more. Some examples of popular Python libraries for data

analytics are pandas, numpy, matplotlib, seaborn, scikit-learn, nltk, and beautifulsoup. Python is

different from other data analytics tools that are not programming languages but rather software

applications or platforms that provide graphical user interfaces (GUIs) for data analysis and

visualization. Some examples of these tools are SAS, Microsoft Power BI, IBM SPSS. Therefore, the

correct answer is D. Reference: [What is Python? | Definition and Examples], [Python Libraries for

Data Science]