Python is perfectly capable for programmers with certain tasks in math and science fields, despite perceived Python performance issues vs. other languages.

Interpreting math expressions is one of those things that seems simple until you get into it. The first problem is correctly lexing the input — a term that means splitting into tokens.

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.