Powerful and versatile as it is, Python lacks a few key capabilities out of the box. For one, there is no native mechanism for compiling a Python program into a standalone executable package. To be ...

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.

There's a not-so-hidden danger when using Python that you need to be prepared to deal with. All modern software development languages are modular, which means developers can break larger sections of ...

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 (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 ...

As a system and application engineer, I’ve saved countless hours by automating measurements with software such as LabVIEW. Although I’ve used it to build measurement applications, I’ve started to ...

One way to speed up your Python programs is to write modules in the Zig language and use them in your Python code. Here's how to get started. Python might not be the fastest of languages, but it has ...

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 ...

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 ...