performance
This reference covers Vaex's performance features including lazy evaluation, caching, memory management, async operations, and optimization strategies for processing massive datasets.
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Content
# Performance and Optimization
This reference covers Vaex's performance features including lazy evaluation, caching, memory management, async operations, and optimization strategies for processing massive datasets.
## Understanding Lazy Evaluation
Lazy evaluation is the foundation of Vaex's performance:
### How Lazy Evaluation Works
```python
import vaex
df = vaex.open('large_file.hdf5')
# No computation happens here - just defines what to compute
df['total'] = df.price * df.quantity
df['log_price'] = df.price.log()
mean_expr = df.total.mean()
# Computation happens here (when result is
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