scipy — Easy Examples
Scientific computing: optimization, integration, signal processing, statistics
Getting started with scipy
Installation and basic usage of scipy.
python
from scipy import stats import numpy as np data = np.random.normal(100, 15, 1000) print(f"Mean: {np.mean(data):.2f}") print(f"Std: {np.std(data):.2f}") stat, p_value = stats.normaltest(data) print(f"Normal test p-value: {p_value:.4f}")
scipy is a third-party package. Scientific computing: optimization, integration, signal processing, statistics. Install with: pip install scipy
Common scipy operations
Frequently used features of scipy.
python
import scipy print(f"scipy is ready to use") print(f"Available: {dir(scipy)[:10]}")
These are the most commonly used features of scipy in everyday development.
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