Cache expensive function results automatically with the built-in cache decorator.
Category: Tips and Tricks
Tips and Tricks #102: Accelerate Pandas with PyArrow Backend
Switch to PyArrow-backed DataFrames for faster operations and lower memory usage.
Tips and Tricks #101: Use Generators for Memory-Efficient Data Processing
Process large datasets without loading everything into memory using Python generators.
Tips and Tricks #100: Freeze Collections for Thread-Safe Read Access
Use FrozenDictionary and FrozenSet for immutable, highly-optimized read-only collections.
Tips and Tricks #99: Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
Tips and Tricks #98: Leverage ArrayPool for Temporary Buffer Reuse
Rent and return arrays from a shared pool to avoid repeated allocations in buffer-heavy code.