Introduction to Numpy

This chapter introduces Numpy, a fundamental Python library for efficient numerical computing. Numpy is essential for performing powerful array operations, which underpin many data science and machine learning tasks.

You will learn about Numpy's core features, including creating and manipulating arrays, performing mathematical operations, and utilizing its broad range of functions. We will explore n-dimensional arrays, which are crucial for storing and manipulating large datasets. Mastering these concepts will enable you to perform complex numerical computations with ease and precision.

Throughout the chapter, you will encounter practical examples demonstrating how Numpy simplifies data manipulation tasks, such as reshaping data, filtering elements, and performing element-wise calculations. By the end, you will have a solid understanding of Numpy's capabilities, preparing you to tackle more advanced data manipulation challenges as you progress in this course.