ompy

ompy is a Python library designed for optimizing numerical computations, particularly those involving NumPy arrays. It aims to accelerate these operations by leveraging techniques like Just-In-Time (JIT) compilation. The library focuses on making it easier for users to write performant numerical code without requiring extensive knowledge of low-level optimization or parallel programming.

The core idea behind ompy is to compile Python functions that operate on NumPy arrays into optimized machine code. This compilation process can significantly speed up execution times compared to standard Python loops or even some vectorized NumPy operations, especially for complex calculations or functions applied element-wise. It achieves this by analyzing the code and generating efficient instructions for the target hardware.

ompy can be used by decorating functions with specific ompy decorators. These decorators instruct ompy to compile the decorated function. The library handles the complexities of compilation, making the process relatively transparent to the user. It supports a range of NumPy operations and data types, allowing for a broad application in scientific computing, data analysis, and machine learning. The aim is to bridge the gap between the ease of Python programming and the performance demands of numerical tasks.