To work with these arrays, there’s a vast amount of high-level mathematical functions operate on these matrices and arrays. One of these tools is a high-performance multidimensional array object that is a powerful data structure for efficient computation of arrays and matrices. It contains a collection of tools and techniques that can be used to solve on a computer mathematical models of problems in Science and Engineering. In other words, NumPy is a Python library that is the core library for scientific computing in Python.
This already gives an idea of what you’re dealing with, right? The library’s name is short for “Numeric Python” or “Numerical Python”. For those of you who are new to the topic, let’s clarify what it exactly is and what it’s good for.Īs the name gives away, a NumPy array is a central data structure of the numpy library. You already read in the introduction that NumPy arrays are a bit like Python lists, but still very much different at the same time.
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