Understanding Indexing and Slicing in NumPy Arrays

The concise explanation of indexing and slicing for NumPy ndarray objects:

Indexing: Similar to Python lists, NumPy ndarrays use zero-based indexing. The first element has an index of 0, the second has an index of 1, and so on. You can also use negative indices, where -1 refers to the last element, -2 to the second-to-last, and so forth.

Slicing: To extract a portion of an array, use the syntax array[start:end]. The start index is inclusive, while the end index …

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