Learn how to create, index, slice, reshape, and perform arithmetic operations on arrays using NumPy, the most popular Python library for data science.

This post shows you how to use arrays in Python and why this data structure is so useful. A foundational skill for data science, coding, and more!

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 ...

Elements in NumPy arrays can be accessed by indexing. Indexing is an operation that pulls out a select set of values from an array. The index of a value in an array is that value's location within the ...

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object, and tools for working with these arrays. It is the fundamental package for scientific ...

Indexing Arrays Indexing refers to accessing the individual items in an array. In PowerShell, the index numbers start at 0, meaning that the first item in the array has an index of 0, the second item ...