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The Python programming language provides a rich set of high-level data structures such as lists for enumerating a collection of objects. However, these structures are not ideally suited for high-performance numerical computations. For example, lists are very flexible but also slow to process in numerical computations. In the mid-90s, an international team of volunteers started to develop a data-structure for efficient array computation. This structure evolved into what is now known as the N-dimensional NumPy array.
