Contents

## Python Numpy

By default Python does not have a concept of Arrays. And there is no inbuilt support for multidimensional arrays.

Python Numpy is a library that handles multidimensional arrays with ease. It has a great collection of functions that makes it easy while working with arrays. Especially with the increase in the usage of Python for data analytic and scientific projects, numpy has become an integral part of Python while working with arrays.

## Python Numpy Examples List

Following are the list of Numpy Examples that can help you understand to work with numpy library and Python programming language.

- Create One Dimensional Numpy Array
- Create Two Dimensional Numpy Array
- Create Multidimensional Numpy Array
- Create Numpy Array with Random Values – numpy.random.rand()
- Print Numpy Array
- Python Numpy – Save Array to File and Load Array from File
- Python Numpy – Array Reshape – reshape()
- Python Numpy – Numpy Array with Zeros – numpy.zeros()
- Numpy Array with Ones
- Python Numpy – Initialize Array with a Range of numbers – arange()
- Python Numpy – Access Array Elements using Index
- Python Numpy – Get Specific Row
- Numpy – Get Array Shape
- Python Numpy – Get Array Size
- Numpy – Iterate over Array
- Numpy – Duplicate or Copy Array Data to Another Array
- Numpy – Concatenate Arrays
- Numpy – Reverse Array
- Numpy – Add Two Arrays
- Numpy – Stack Arrays Vertically
- Numpy – Horizontal Stack Arrays
- Numpy – Split Array into Smaller Arrays
- Numpy – Dot Product
- Numpy – Cross Product
- Numpy – Boolean Array

### Numpy – Arithmetic Operations

- Numpy – Add a constant to all the elements of Array
- Numpy – Multiply a constant to all the elements of Array
- Numpy – Divide all the elements of Array with a number

### Numpy – Mathematical Functions

- Python Numpy – Exponential Function – exp()
- Python Numpy – Square Root Function – sqrt()
- Python Numpy – Get Maximum Value of Array – max()
- Python Numpy – Get Maximum Value of Array along an Axis – amax()
- Python Numpy – maximum()

### Numpy – Statistical Functions

- Python Numpy – Sum of all elements in Array – sum()
- Python Numpy – Array Average – average()
- Python Numpy mean()
- Python Numpy – Array Median – med()
- Python Numpy – Array Standard Deviation – std()
- Python Numpy – Array Variance – var()

### Conversions

- Convert Numpy Array to List
- Convert List into Numpy Array
- Numpy Vectorize

### Numpy Logic Functions

### Summary

In this tutorial of Python Examples, we learned about Python Numpy library and different concepts of Numpy.