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 ...

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 ...

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 ...

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 ...

As with other programming languages, Python has libraries to make coding tasks easier. Here's how you can take advantage of them, and how you can create your own libraries as well. Libraries are ...

As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...