What are the best practices for using NumPy?
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What are the best practices for using NumPy?
When using NumPy, it's important to utilize vectorization instead of loops for performance. Also, ensure you use the right data types.
Can you explain what vectorization means?
Vectorization refers to the process of applying operations to entire arrays instead of individual elements, which speeds up computations.
Are there specific functions I should use for array operations?
Yes, functions like np.add(), np.subtract(), and np.dot() are optimized for array operations and should be preferred.
How can I handle missing data in NumPy?
You can use np.nan to represent missing values and functions like np.nanmean() to compute statistics while ignoring them.
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