What are arrays and how are they used in data science?

What are arrays and how are they used in data science?

Arrays are data structures that store elements of the same type. In data science, they are used for efficient data manipulation and analysis.

Can you give me an example of how arrays are used in Python?

Sure! In Python, you can use libraries like NumPy to create arrays. For example, import numpy as np; arr = np.array([1, 2, 3]) creates a simple array.

What are the advantages of using arrays over lists?

Arrays are more memory efficient and allow for faster computations, especially with large datasets, compared to lists.

Are there any limitations to using arrays?

Yes, arrays have fixed sizes and require elements to be of the same type, which can limit flexibility compared to other data structures.