Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and ...