Too Long; Didn't Read Pandas is a powerful, open-source library that provides data manipulation and analysis tools for Python. NumPy is used extensively in data science, machine learning, and scientific computing for linear algebra, Fourier analysis, and more. Matplotlib is a popular Python library for creating static, interactive, and animated visualizations.

You've been learning about data science and want to get rocking immediately on solving some problems. This article will introduce you to the essential data science libraries so you can start flying today. Python has three core data science libraries upon which many others have been built. For simplicity, you can think of Numpy as your go-to for arrays. Numpy arrays are different from standard Python lists in many ways, but a few to remember are they are faster, take up less space, and have more functionality. It is important to note, though, that these arrays are of a fixed size and type, which you define at creation.