Fast Success Knowledge Science
Slicing and dicing like a professional
NumPy is Python’s foundational library for numerical calculations. With NumPy, the heavy lifting is dealt with by arrays, primarily tables of parts of the identical information kind. Arrays are optimized for efficiency, allowing quicker mathematical and logical operations than conventional Python information varieties, like lists.
In Half 1, we coated how you can create arrays, describe them, and entry their attributes utilizing dot notation. On this article, we’ll look at how you can entry the weather in arrays utilizing indexes and slices, so you possibly can extract the worth of parts and alter them utilizing project statements. Array indexing makes use of sq. brackets [], identical to Python lists.
As a refresher from Half 1, here’s a graphical illustration of a 1D, 2D, and 3D array, with the axes annotated. You’ll want to know the axes’ instructions to index correctly.
