Practical Data Science using Python - NumPy Arrays 3

The video tutorial explains how to iterate through arrays using for loops, both row-wise and column-wise. It covers array stacking and splitting, demonstrating horizontal and vertical operations. The tutorial also discusses creating references and physical copies of arrays, highlighting the differences between them.

Describe the role of the shape attribute in determining the number of rows and columns in an array.

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How do you access the arrays resulting from a split operation?

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What happens when you change an element in an array that is referenced by another variable?

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What is the purpose of the copy function when dealing with arrays?

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