add value to array python numpy

numpy is a powerful library for numerical computing in python, providing support for large, multi-dimensional arrays and matrices, along with mathematical functions to operate on these arrays. in this tutorial, we will explore various ways to add values to arrays using numpy.
if you haven't installed numpy yet, you can do so using the following command:
now, let's dive into adding values to numpy arrays.
you can add a scalar value to all elements of a numpy array using simple arithmetic operations. here's an example:
output:
you can perform element-wise addition of two arrays of the same shape. this is similar to adding corresponding elements together:
output:
you can add values at specific indices in a numpy array using indexing. here's an example:
output:
in this tutorial, we covered different ways to add values to numpy arrays, including adding scalar values, performing element-wise addition of two arrays, and adding values at specific indices. numpy's flexibility and simplicity make it a powerful tool for numerical operations in python. experiment with these examples to deepen your understanding of numpy arrays and their manipulation.
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