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

OpenAI’s GPT-5.2 Pro does better at solving sophisticated math problems than older versions of the company’s top large ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

When presenting expressions, we saw examples of common arithmetic operations: addition, subtraction, multiplication, and division. Here we will present two additional operations which are closely ...

Dispatching operators on builtin math types like transform, vec3, mat33, in Python scope (outside kernels), is very slow due to overload resolution and argument binding. A lot of this overhead could ...

Here we make explicit the connection between subscript notation in mathematics and indices in Python. In mathematics: Say we have a collection of objects X. We can refer to individual elements of the ...