What are the performance differences between arrays and lists in Python?
In Python, lists are dynamic arrays, while arrays (from the array module) are more efficient for large data sets. Lists are more flexible but slower for certain operations.
Can you explain when to use arrays instead of lists?
Use arrays when you need to store large amounts of data of the same type and require faster performance for numerical operations.
What about memory usage? How do they compare?
Arrays use less memory than lists because they store elements of the same type, while lists store references to objects, which adds overhead.
Are there any specific libraries that enhance array performance?
Yes, libraries like NumPy provide powerful array objects that are optimized for performance and memory efficiency, especially for numerical computations.
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