Introduction to NumPy

NumPy, together with pandas, is one of the most popular and used Python packages in the world. It is mainly used to work with arrays and their functions. These functions include performing linear algebra and matrices. Thus, many data professionals, from machine learning engineers to financial analysts, depend on this package to perform extensive data science tasks.

Unlike Pandas, toolkits for machine or deep learning such as Tensorflow or scikit can only use NumPy arrays, meaning that machine learning engineers often prefer NumPy for their tasks. Additionally, with its built-in functions, machine learning engineers can perform lighting speed calculations needed for their tasks.