demystifying numpyargsort for sorting searching and counting

**Parameters:**

* **`a`**: The array to be indirectly sorted. This can be a 1D or multi-dimensional NumPy array.
* **`axis`**: (Optional) The axis along which to sort. The default value is -1, which sorts along the last axis.
* **`kind`**: (Optional) Sorting algorithm to use. Options include 'quicksort', 'mergesort', 'heapsort', 'stable'. 'stable' is especially useful when you have equal elements and you want to preserve their original order. The default is usually 'quicksort'. The choice of algorithm depends on performance considerations. For most cases, the default `quicksort` is a good choice.
* **`order`**: (Optional) When `a` is a structured array, this argument specifies which fields to compare first, second, etc. We'll discuss this in the section on structured arrays.

**Return Value:**

An array of indices of the same shape as `a` that index data along the given axis in sorted order.

**Basic Example: Sorting a 1D Array**

**Explanation:**

* The element at index 1 (`arr[1]`, which is 1) would be the first element in the sorted array.
* The element at index 3 (`arr[3]`, which is 1) would be the ...

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