NumPy (Numerical Python) is an open-source library for the Python programming language. It is used for scientific computing and working with arrays. Apart from its multidimensional array object, it ...

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 ...

[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 was ...

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 ...

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 ...

Over the past few months, the use of the Python programming language has increased greatly, at least among my colleagues who do data science and machine learning. I suspect this increase is due in ...

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 ...

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...