python
import pandas as pd
data = pd.read_csv('data.csv')
print(filtered_data.head())
python
import numpy as np
data = np.random.randint(0, 100, size=(10000, 3))
mean = np.mean(data, axis=0)
variance = np.var(data, axis=0)
std_deviation = np.std(data, axis=0)
print("Mean:", mean)
print("Variance:", variance)
print("Standard Deviation:", std_deviation)
python
import dask.dataframe as dd
data = dd.read_csv('large_data.csv')
processed_data = data[data['age'] > 18].groupby('gender').mean()
print(processed_data.compute())
