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What data processing libraries did you use? For example, NumPy?

sobes.tech AI

Answer from AI

For data processing in Python, libraries are often used:

  • NumPy — for working with multidimensional arrays and matrices, as well as performing mathematical operations.
  • Pandas — for convenient handling of tabular data, filtering, aggregation, and transformation.
  • Matplotlib and Seaborn — for data visualization.

Example of using NumPy to create an array and calculate the mean:

import numpy as np

arr = np.array([1, 2, 3, 4, 5])
mean_value = np.mean(arr)
print(f"Average value: {mean_value}")