Numpy already offers fast and optimized vectorized operations. Yet, it does not support parallelism. This provides further scope for improving the run-time of NumPy. To do so, use Numexpr. It allows you to speed up numerical computations with multi-threading and just-in-time compilation.
Speed-up NumPy 20x with Numexpr
Speed-up NumPy 20x with Numexpr
Speed-up NumPy 20x with Numexpr
Numpy already offers fast and optimized vectorized operations. Yet, it does not support parallelism. This provides further scope for improving the run-time of NumPy. To do so, use Numexpr. It allows you to speed up numerical computations with multi-threading and just-in-time compilation.