It is possible to use generic Python objects as the dtype for a NumPy array, but if you do this, you’ll get no better performance with NumPy than you would with Python generally.

10 ways to make Python programs run faster Measure, measure, measure Memoize (cache) repeatedly used data Move math to NumPy Move math to Numba Use a C library Convert to Cython Go parallel with ...

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

Arrays in Python differ from other programming languages as it uses lists instead of arrays. Python 'lists' are more flexible than arrays as they can contain different data types and their length ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...