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 ...

Tested using Python 3.7.0 on Ubuntu 20.04 LTS with Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz (4-core, 8-thread CPU) This repo compares the following methods for sharing numpy arrays between ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...

I have a C++ function returning an array, which I convert to a numpy array using np.ctypeslib.as_array(pointer_from_C++_function, (size_of_array,)). This works as expected, but when I repeatedly call ...

You may have heard about NumPy and wondered why it seems so essential to data analysis in Python. What makes NumPy seemingly end up everywhere in statistical calculations with Python? Here are some ...

There is a phenomenon in the Python programming language that affects the efficiency of data representation and memory. I call it the "invisible line." This invisible line might seem innocuous at ...