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

New research finds that a natural aptitude for learning languages is a stronger predictor of learning to program than basic math knowledge.

That was [gnebehay’s] thought when his university studies were too high level, so he decided to write an arithmetic expression parser in Python. It came out in about 100 lines of code.

The solution he came up with is to use the Python interpreter as a binary math aide. We knew that you could use Python to convert between decimal, hexadecimal, and binary.

Want faster number-crunching in Python? You can speed up your existing Python code with the Numba JIT, often with only one instruction.