Tag: dotnet

Bypass the GIL and utilize all CPU cores for compute-intensive tasks.

Cache expensive function results automatically with the built-in cache decorator.

Switch to PyArrow-backed DataFrames for faster operations and lower memory usage.

Process large datasets without loading everything into memory using Python generators.

Replace Task with ValueTask in frequently-called async methods that often complete synchronously.

Rent and return arrays from a shared pool to avoid repeated allocations in buffer-heavy code.