Welcome back! Today, we are exploring Array Indexing and Slicing, two crucial concepts for data manipulation and processing. Utilizing Python's NumPy library, by the end of this lesson, you will be able to comfortably access and modify elements in a NumPy array.

Let's quickly revisit NumPy arrays. A NumPy array is a powerful tool for numerical operations. Here's how we import NumPy and create a simple array:

Array indexing lets us access an element in an array. It works just like with Python's lists! Python uses zero-based indexing, meaning the first element is at position 0. Here's how we access elements:

Note that [-1] gives us the last element, the same as with plain Python's lists!

Array slicing lets us access a subset, or slice, of an array. The basic syntax for slicing in Python is .