In a project of mine I use random.choice on a numpy array (at multiple point in the code) which worked fine until recently. After upgrading to Python 3.11, my code crashes with: ValueError: The truth ...

Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.

Generating random numbers is a common task in many applications, such as simulations, cryptography, games, and data analysis. NumPy is a popular library for scientific computing and data manipulation ...

I'd like to shuffle multiple arrays in unison (1.) and then I'd like to do that multiple times with different seeds (2.). However, it looks like random.set_state doesn't properly accept a ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...