NumPy (수치 계산 라이브러리) python import numpy as np a = np.array([1, 2, 3]) b = np.array([4, 5, 6]) c = a + b print(c) Pandas (데이터 분석 라이브러리) python import pandas as pd data = {'name': ['John', 'Alice', 'Bob'], 'age': [32, 24, 29]} df = pd.DataFrame(data) print(df) Matplotlib (시각화 라이브러리) python import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [1, 4, 9, 16, 25] plt.plot(x, y) plt.xlabel('x') plt...