When you need to speed up your NumPy processing—or just reduce your memory usage—the Numba just-in-time compiler is a great tool. It lets you write Python code that gets compiled at runtime to machine code, allowing you to get the kind of speed improvements you’d get from languages like C, Fortran, or Rust. Or at least, that’s the theory. In practice, your initial Numba code may be no faster than the NumPy equivalent. But you can do better, once you […]

If you’ve been learning Python long enough, then you’ve likely seen or heard about the Zen of Python. Experienced Pythonistas often refer to it as a source of wisdom and guidance, especially when they want to settle an argument about certain design decisions in a piece of code. Others take these principles even more seriously by considering them a sort of Pythonic decalogue. In this tutorial, you’ll learn where to find the Zen of Python, how it came into existence, […]

Once you have a NumPy array, regardless of whether you’ve generated it randomly or obtained it from a more ordered source, there may be times when you need to select elements from it randomly or reorder its structure randomly. You’ll learn how to do this next. Selecting Array Elements Randomly Suppose you have a NumPy array of data collected from a survey, and you wish to use a random sample of its elements for analysis. The Generator object’s .choice() method […]