Numexpr: Fast numerical array expression evaluator for Python, NumPy, Pandas

NumExpr is a Python library that accelerates numerical array expressions for NumPy by avoiding intermediate memory allocation and using multi-threaded processing across CPU cores, typically achieving 0.95x to 4x speedups compared to NumPy alone. It parses expressions into op-codes executed by a virtual machine that processes data in cache-friendly chunks, with performance gains particularly pronounced for large arrays and complex mathematical operations. The library can be installed via pip or conda and optionally supports Intel's Math Kernel Library for further acceleration of transcendental functions.