Web Reference: In this tutorial, you'll learn everything you need to know to get up and running with NumPy, Python's de facto standard for multidimensional data arrays. NumPy is the foundation for most data science in Python, so if you're interested in that field, then this is a great place to start. Mar 25, 2026 · NumPy is a core Python library for numerical computing, built for handling large arrays and matrices efficiently. It is significantly faster than Python's built-in lists because it uses optimized C language style storage where actual values are stored at contiguous locations (not object reference). NumPy is the abbreviation for numeric Python. Many Python packages that provide scientific functions use NumPy’s array objects as one of the standard interfaces for data exchange. In the following, I will give a brief overview of the main functionality of NumPy:
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