Bypass the GIL and utilize all CPU cores for compute-intensive tasks.
Tag: csharp
Tips and Tricks #199: Use functools.cache for Automatic Memoization
Cache expensive function results automatically with the built-in cache decorator.
Tips and Tricks #198: Accelerate Pandas with PyArrow Backend
Switch to PyArrow-backed DataFrames for faster operations and lower memory usage.
Tips and Tricks #197: Use Generators for Memory-Efficient Data Processing
Process large datasets without loading everything into memory using Python generators.
Tips and Tricks #195: Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
Tips and Tricks #194: Leverage ArrayPool for Temporary Buffer Reuse
Rent and return arrays from a shared pool to avoid repeated allocations in buffer-heavy code.