NumPy is a popular Python library for data science that provides powerful and efficient tools for manipulating arrays. Arrays are collections of data elements that have the same type and shape ...

py_find_1st ... of the 100 elements. In the above case the second element is tested positive. In the worst case, where no valid element is present all comparisons have to be performed and flatnonzero ...

As noted above, NumPy arrays behave a lot like other Python objects, for the sake of convenience. For instance, they can be indexed like lists; arr[0] accesses the first element of a NumPy array.

A peak element is an element that is greater than its neighbors. # Given an input array where num[i] ≠ num[i+1], find a peak element and return its index. # The array may contain multiple peaks, in ...