Tag numpyfunctions


NumPy has many built-in functions and capabilities. We won’t cover them all but instead we will focus on some of the most important aspects of NumPy such as vectors, arrays, matrices, and number generation. Let’s start by discussing arrays.

NumPy arrays are the main way we will use NumPy throughout the course. NumPy arrays essentially come in two flavors: vectors and matrices. Vectors are strictly 1-d arrays and matrices are 2-d (but you should note a matrix can still have only one row or one column).

To know more about numpy function check the official documentation https://docs.scipy.org/doc/numpy/user/quickstart.html

Let’s begin our introduction by exploring how to create NumPy arrays. Please go through the jupyter notebook code. I have explained the code with comment, hope it will help you to understand the important functions of NumPy.