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Next we are importing core libraries for numerical computing, data analysis, visualization, and suppress warnings e.g.
1) numpy: Numerical Python, supports homogeneous data types
2) pandas: that is built on top of NumPy, supports heterogeneous data type
3) matplotlib.pyplot: Plots 2D graphs and plots. Used for data visualization, e.g. histogram, bar chart, error chart etc.
4) seaborn: Built on top of Matplotlib. Less code & can plot heatmap, pairplot, violinplot etc.
5) warnings: Python’s built-in module to manage warnings.
6) warnings.filterwarnings(“ignore”): Suppresses all warning messages for cleaner output.
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# Import core libraries for numerical computing, data analysis, visualization, and suppress warnings
import numpy as np # Numerical Python, supports homogeneous data types
import pandas as pd ## Built on top of NumPy, supports heterogeneous data type
import matplotlib.pyplot as plt # Plots 2D graphs and plots. Used for data visualization, e.g. histogram, bar chart, error chart etc.
import seaborn as sns # Built on top of Matplotlib. Less code & can plot heatmap, pairplot, violinplot etc.
import warnings # Python’s built-in module to manage warnings.
warnings.filterwarnings(“ignore”) # Suppresses all warning messages for cleaner output.