# 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.

## Fix numpy.savetxt() TypeError: Mismatch between array dtype and format specifier (‘%.18e %.18e %.18e’) – NumPy Tutorial

When you are using numpy.savetxt() function to save numy array into a text file, you my get this error: TypeError: Mismatch between array dtype (‘

## An Introduction to Save NumPy Array to CSV File with Python – NumPy Tutorial

Saving a numpy array to csv file can help us to share data for others or other python applications. In this tutorial, we will talk about some tips on how to save.

## Understand numpy.savetxt() for Beginner with Examples – NumPy Tutorial

numpy.savetxt() function can help us to save numpy data into a txt file (.txt or .csv). In this tutorial, we will write some examples to help numpy beginners to undstand and use it correctly.

## Understand numpy.random.shuffle(): Randomly Permute a Sequence – Numpy Tutorial

numpy.random.shuffle() function can help us to permute a sequence randomly along the first axis , in this tutorial we will introduce how to use this function correctly.

## Understand numpy.random.permutation(): Randomly permute a sequence – Numpy Tutorial

numpy.random.permutation() can return a sequence randomly, which is very helpful in random two or more sequences. In this tutorial, we will introduce how to use this function correctly.

## Understand numpy.full(): Create an Array with Given Shape and Value – NumPy Tutorial

numpy.full() function can allow us to create an array with given shape and value, in this tutorial, we will introduce how to use this function correctly.

## A Basic Numpy Data Types List for Beginners – Numpy Tutorial

Numpy data type is called dtype, in this tutorial, we will list some common used numpy data types, which is much richer than python standard data types.

## Understand numpy.logspace() Function for Beginners – NumPy Tutorial

numpy.logspace() function can generate geometric series based on base( such as base = 10.0). In this tutorial, we will write some examples to show you how to use this function correctly.

## Best Practice to NumPy Create Hilbert Matrix for Beginners – NumPy Tutorial

Hilbert matrix is highly ill-conditioned matrix, in this tutorial, we write an python function to generate a hilbert matrix with numpy, you can use this function in your machine learning model.

## Understand numpy.newaxis with Examples for Beginners – NumPy Tutorial

numpy.newaxis represents a new axis in numpy array, in this tutorial, we will write some examples to help you understand how to use it correctly in python application.