Final answer:
Python is popular in data science due to its simplicity, versatility, and library support. It has many libraries and frameworks for handling large datasets, data analysis, and machine learning models.
Step-by-step explanation:
Python is a popular programming language in the field of data science because of its simplicity versatility, and extensive library support. These qualities make it easier for companies to build and deploy data science models efficiently.
Python provides a wide range of libraries and frameworks such as NumPy, pandas, and scikit-learn, which enable data scientists to handle large datasets, perform data analysis, and build machine learning models.
Furthermore, Python's popularity and active community ensure a wealth of resources, documentation, and support for data scientists.