arr = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]) print(arr[0:5, 3]) #Returns 3rd element from each array i.e. first array and second array print(arr[0, 0:4]) # ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Abstract: Program slicing is an important program analysis technique and now has been used in many fields of software engineering. However, most existing program slicing methods focus on static ...