What are some applications of NumPy in data science?
NumPy is widely used in data science for numerical computations, data manipulation, and handling large datasets efficiently.
Can you give me specific examples of how NumPy is used?
Sure! NumPy is used for array operations, statistical analysis, and as a foundation for libraries like Pandas and SciPy.
How does NumPy improve performance in data analysis?
NumPy provides optimized performance through its array operations, which are implemented in C, allowing for faster computations than Python lists.
Are there any limitations to using NumPy?
Yes, NumPy is not ideal for handling non-numerical data and can be less efficient for very large datasets compared to specialized libraries.
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