# 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.

## What is Sample Variance and How to Compute it in Numpy – Numpy Tutorial

In this tutorial, we discuss what is sample variance and how to calculate it in numpy, you can learn how to do by referring our tutorial.

## Why numpy.var() can be Inaccurate When Computing Matrix Variance? – Numpy Tips

In this tutorial, we write an example to discuss why numpy.var() can be inaccurate when computing matrix variance in numpy, you can learn how to compute matrix variance correctly by our this tutorial.

## Calculate Average, Variance, Standard Deviation of a Matrix in Numpy – Numpy Tutorial

In this tutorial, we introduce how to calculate the average, variance and standard deviation of a matrix in numpy, they are common used in many applications, you can learn how to do by referring our tutorial.

## Calculate Dot Product of Two Vectors in Numpy for Beginners – Numpy Tutorial

In this tutorial, we write an example to show how to calculate dot product of two vectors in numpy, we should use np.dot() function and can not use * operation. You can learn how to do by following our tutorial.

## Flatten a Matrix in Numpy for Beginners – Numpy Tutorial

In this tutorial, we introduce how to flatten a matrix in numpy, we use two methods: ndarray.flatten() and numpy.reshape() function, you can learn how to do by following our tutorial.