?How do Python libraries like NumPy and Pandas contribute to data analysis and manipulation
NumPy and Pandas are powerful Python libraries extensively used for data analysis and manipulation tasks. NumPy provides support for multidimensional arrays and mathematical operations, making it ideal for numerical computing and scientific applications. Pandas offers data structures like DataFrames and Series, along with intuitive methods for data manipulation, cleaning, and analysis. Together, these libraries enable efficient data handling, statistical analysis, and visualization, empowering programmers to derive meaningful insights from large datasets and facilitate informed decision-making processes.