NumPy Basics — Arrays, Mathematical Operations, and Basic Statistics

In this lesson, we will learn the basics of the NumPy library in Python. We will understand arrays, the difference between lists and arrays, mathematical operations with NumPy, basic statistical calculations, and why NumPy is important in data analytics. ## Lesson objective In this lesson, we will learn the basics of the NumPy library in Python. In the previous lessons, we covered the main Python concepts: variables, data types, lists, dictionaries, conditions, loops, and functions. These concepts are the foundation of Python. However, for data analytics, Python’s standard features alone are not always enough. In data analytics, we often work with large amounts of numerical data.