# 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.

## 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.