JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

Kimojio uses a single-threaded, cooperatively scheduled runtime. Task scheduling is fast and consistent because tasks do not migrate between threads. This design works well for I/O-bound workloads ...

running R code inside Python quickly transferring huge datasets between Python (NumPy/pandas/polars) and R without writing to disk interactively working in both languages at the same time ...

Abstract: The number theoretic transform (NTT) provides a practical and efficient technique to perform multiplication of very large degree polynomials typically found in fully homomorphic encryption ...

Abstract: Python has become increasingly significant in domains such as data science, machine learning, scientific computing, and parallel programming. The libraries CuPy and Numba enable the ...