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 ...

If you have ever tried crunching large datasets on your laptop, maybe a big CSV converted to NumPy or some scientific data from work, you have probably heard your laptop fan roar like it is about to ...

Now that we know how to build arrays, let's look at how to pull values our of an array using indexing, and also slicing off sections of an array. Similar to selecting an element from a python list, we ...

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 ...