In this tutorial, instructor Alex Chabot-Leclerc will provide you an overview of the NumPy library. NumPy is a very important library on which almost every data science or machine learning Python packages such as Pandas (dataframes), SciPy (Scientific Python), Matplotlib (plotting library), Scikit-learn, etc depends on to a reasonable extent. NumPy is very useful for performing mathematical and logical operations on Arrays. It provides an abundance of useful features for operations on n-arrays and matrices in Python. It is very important for you to build a solid understanding of NumPy before moving on to the more advanced modules.