Python Refresher for Data Science

python
Run Inline
import numpy as np
import pandas as pd
# NumPy arrays
arr = np.array([1, 2, 3, 4, 5])
print(f"Mean: {arr.mean()}, Std: {arr.std()}")
# Pandas DataFrame
df = pd.DataFrame({
    'name': ['Alice', 'Bob', 'Charlie'],
    'age': [25, 30, 35],
    'salary': [50000, 60000, 70000]
})
print(df.describe())
# Reading/writing data
# df = pd.read_csv('data.csv')
# df.to_csv('output.csv', index=False)

Key Libraries

• NumPy: Numerical computing, arrays, linear algebra
• Pandas: Data manipulation, DataFrames
• Matplotlib/Seaborn: Visualization
• Scikit-learn: Machine learning
• PyTorch: Deep learning Join Discord NextML with sklearn