Mapping lists in Python can be effectively done using NumPy, a powerful library that provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.
Below is an example of how to map lists using NumPy:
import numpy as np
# Creating a list
original_list = [1, 2, 3, 4, 5]
# Mapping the list using NumPy
mapped_array = np.array(original_list) * 2
print(mapped_array)
This code snippet creates a NumPy array from a list and then maps it by multiplying each element by 2, effectively doubling the values.
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