# NumPy Tutorials and Examples for Beginners NumPy is a Python package which stands for ‘Numerical Python’. It is the core libraryfor scientific computing, which contains a powerful n-imensional array object, providetools for integrating C, C++ etc.

In this page, we have written some numpy tutorials and examples, you can lean how to use numpy easily.

## Understand numpy.vstack() and numpy.hstack() with Examples – NumPy Tutorial

In this tutorial, we will use some examples to show you how to use numpy.vstack() and numpy.hstack() in numpy.

## Understand Array Copy in NumPy – NumPy Tutorial

It is easy to copy an array in numpy, however, there are some important tips you must concern. In this tutoiral, we will discuss this topic.

## Compute Cosine Similarity Matrix of Two NumPy Array – NumPy Tutorial

If you have two numpy array, how to compute their cosine similarity matrix? In this tutorial, we will use an example to show you how to do.

## Implement Softmax() Function in NumPy – NumPy Tutorial

In this tutorial, we will use an example to show you how to implement softmax function using numpy. You use code directly.

## Simple Guide to Print Full Numpy Array Without Truncation – NumPy Tutorial

In this tutorial, we will introduce how to print a full numpy array without truncation. You can learn how to do by following our steps.

## Understand numpy.hamming() with Examples – NumPy Tutorial

In this tutorial, we will use some examples to show you how to use numpy.hamming() functions.

## Fix ModuleNotFoundError: No module named ‘numpy.testing.decorators’ – NumPy Tutorial

If you are running python script and get this error: ModuleNotFoundError: No module named ‘numpy.testing.decorators’. In this tutorial, we will introduce you how to fix this error.

## Understand numpy.percentile(): Compute the q-th Percentile – NumPy Tutorial

numpy.percentile() can allows us to compute the q-th percentile of an array. In this tutorial, we will use some examples to show you how to use this function.

## Understand numpy.copy(): Return a New Array Copy – NumPy Tutorial

numpy.copy() function can return a new array copy of the given object. In this tutorial, we will use some examples to show you how to use it.

## NumPy Replace Value in Array Using a Small Array or Matrix – NumPy Tutorial

In this tutorial, we will introduce how to replace some value in a big numpy array using a small numpy array or matrix, which is very useful when you are processing images in python.