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 ...

We can cast an ordinary python list as a NumPy one-dimensional array. We can also cast a python list of lists to a NumPy two-dimensional array. Usually we will build arrays by using NumPy's ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

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 ...

An image consists of a rectangular array of pixels where each one is assigned a colour. For example, here is an image with 9 pixels, each pixel is assigned a specific colour. We can represent this ...

Asked on Twitter why a paper is coming out now, 15 years after NumPy's creation, Stefan van der Walt of the University of California at Berkeley's Institute for Data Science, one of the article's ...

Among the innovations that power the popular open source TensorFlow machine learning platform are automatic differentiation (Autograd) and the XLA (Accelerated Linear Algebra) optimizing compiler for ...