memory after conversion.py

# convert data types
df['age'] = df['age'].astype('int8')
df['weight'] = df['weight'].astype('int8')
df['income'] = df['income'].astype('int32')
df['height'] = df['height'].astype('float16')

memory_after = df.memory_usage().sum()
print(f'Memory usage: {memory_after} bytes')