Daily Data Science Puzzle
import numpy as np # The fibonacci series F = np.array([0, 1, 1, 2, 3, 5, 8]) F[::3] = 0 print(sum(F[:4]))
What is the output of this puzzle?
Numpy is a popular Python library for data science focusing on arrays, vectors, and matrices.
This puzzle demonstrates indexing in numpy arrays. You most likely know indexing for Python lists or strings. Indexing for numpy works in a similar way.
There are two interesting twists in this puzzle. First, we overwrite each third value of the numpy array with the concise expression
F[::3] starting from the very first entry. Second, we print the sum of the first four values. As we have just overwritten the first and the fourth value, the sum is only 2.
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