# 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.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.

## Understand numpy.squeeze(): Remove Dimensions of Length 1 – NumPy Tutorial

numpy.squeeze() function can allow us to remove axes of length 1, we will use some simple examples to show you how to use this function correctly in this tutorial.

## NumPy Create an Empty Array or Matrix: A Beginner Guide – NumPy Tutorial

Empty array and matrix is an important data in numpy. In this tutorial, we will introduce how to create them using some simple examples.

## Understand numpy.empty(): It Cannot Create an Empty NumPy Array – NumPy Tutorial

If you plan to create an empty numpy ndarrary, numpy.empty() function can not do it. In this tutorial, we will use some examples to show you the reason.

## Check a NumPy Array is Empty or not: A Beginner Tutorial – NumPy Tutorial

In python programming, we often need to check a numpy ndarray is empty or not. In this tutorial, we will introduce numpy beginners how to do.

## Fix AttributeError: ‘numpy.ndarray’ object has no attribute ‘append’ for Beginners – NumpPy Tutorial

If you plan to insert a value to the end of a numpy.ndarray, you will get an error: AttributeError: ‘numpy.ndarray’ object has no attribute ‘append’. In this tutorial, we will introduce how to fix this error.

## Implement Softmax Function Without Underflow and Overflow Problem – Deep Learning Tutorial

Softmax function is widely used in deep learning classification problem. This function may cause underflow and overflow problem. To avoid these problems, we will use an example to implement softmax function.

## Understand numpy.split(): Split an Array into Sub-Arrays – NumPy Tutorial

numpy.split() can allow us to split a numpy array into some sub-arrays, however, there are some notices you must concern when you are using this function. In this tutorial, we will some examples to discuss these notices.

## Python Get NumPy Version: A Beginner Guide – NumPy Tutorial

We have to check our numpy version when our numpy is imcompatible with other python packages. How to check in python? In this tutorial, we will use a simple example to tell you how to do.