In this Python tutorial, we will learn about “**What is Scipy in Python**” and its characteristics with the **installation of Scipy**. Additionally, we will cover the following topics.

- What is Scipy in Python?
- Why we use Scipy in Python
- Difference between SciPy and NumPy
- Installation of Scipy
- Installation of Scipy Using PIP
- Installation of Scipy Using Anaconda
- How to import Scipy in Python
- Pip Update Scipy
- Import Scipy As

## What is Scipy in Python?

The Scipy (Scientific Python) is an open-source library that helps in the computation of complex mathematical or scientific problems. It has a built-in mathematical function and libraries that can be used in science and engineering to resolve different kinds of problems.

Also, It has built-in algorithms for optimization, eigenvalue problems, differential equations, integration, interpolation, algebraic equations, statistics, etc.

The Scipy is the extension of Numpy (Numerical Python), the data processing is extremely fast and efficient. The Scipy is written languages

.*C, C++, Fortran and Python*

The high-level commands and classes provide an easy way for data manipulation and visualization. It can integrate with many different environments and has a huge collection of sub-package for scientific domains.

Read: Tensorflow in Python

## Why we use Scipy in Python

The Scipy contains the optimized functions that are used in Data Science and other engineering domains and it is an extension of Numpy. It can perform many different kinds of Scientific computation and deal with different Scientific problems.

## Difference between Scipy and NumPy

The Scipy and Numpy are very essential libraries with a huge and wide range of functions or methods in Python. The difference between Scipy and Numpy is given below.

Difference based on | Scipy | Numpy |
---|---|---|

Functions | It has different kinds of functions with very details. | It has different kinds of functions with fewer details. |

Operations | It performs complex operations like numerical algorithms and algebraic functions. | It does basic operations like indexing, sorting, etc. |

Speed and language | Scipy is written in , so it has a slower speed with huge functionality.Python | The base language of Numpy is , so it has faster computational speed.C |

Arrays | It is a function-based library, so here there is no concept of an array. | There is the concept of arrays in Numpy, It can build a multidimensional array of objects that contains the same kind of data. |

## Installation of Scipy

Here we will install the Scipy on the two systems Windows and Linux by following the below steps.

Before installing Scipy make sure that Python is already installed on your system, If you want to install then visit our another tutorial **“Python download and Installation steps (Windows 10/Unix/Mac/Ubuntu/CentOS )”**.

### Installation of Scipy using pip on Windows

First, we are going to install the Scipy on Windows using the Python package manager

that helps in modifying the existing packages, installing packages, and removing unnecessary packages.*'pip'*

Open a command line and run the command which is shown below to install the Scipy.

`pip install scipy`

After running the above command, A Scipy is installed successfully on your system as shown in the below output.

To check the version of Scipy, open the command line type the below code to enter into the python interpreter.

`python`

Read Scipy Optimize

### How to import scipy in Python

Now, once the Scipy package is successfully installed, the next step is to start using it. And for this task, first, we need to import it. We can import the package Scipy using the following command.

`import scipy`

Check the version of installed Scipy.

`scipy.version.version`

The output shows the current version of Scipy is

.*1.8.0*

### Installation of Scipy using pip on Linux

Here we are going to install the Scipy on the Linux system using the Python package manage

.*pip*

First, install the `pip`

by running the below command in a terminal.

`sudo apt install python3-pip`

Again, open a terminal or in the same terminal and enter the below command to install the Scipy.

`pip install scipy`

Here, the above code installs the Scipy on our system.

To check the version of Scipy, open the command line type the below code to enter into the python interpreter.

`python3`

Import the package Scipy.

`import scipy`

Check the version of installed Scipy.

`scipy.version.version`

The above output shows the installed version of Scipy is

.*1.8.0*

Read: What is PyTorch and how to use it

## Installation of Scipy Using Anaconda

Here we will install the Scipy in Anaconda using the two methods command line and Anaconda Navigator.

### #1 Command Line

On your system search the** ** in using the search bar of Windows and click on that as shown in the below picture.

`Anaconda Prompt`

Check the python version by typing the below command in that prompt.

`python --version`

Then install the Scipy using the below command.

`pip install scipy`

To check the version of Scipy, open the command line type the below code to enter into the python interpreter.

`python3`

Import the package Scipy.

`import scipy`

Check the version of installed Scipy.

`scipy.version.version`

### #2 Anaconda Navigator

Open the search bar on your system and type anaconda navigator in the search bar, then click on that to open as shown in the below output.

After opening

click on *Anaconda Navigator*`Environment`

tab from the left side paned and select your primary environment as here selected

.*base (root)*

Then select the option

as shown in the below picture.**Not installed**

After performing the above steps, search the

by typing in the *Scipy*** Search Packages** bar located at the top right corner and selecting the packages as shown in the below output.

After selecting, the package clicks on Apply button as shown in the below picture.

After clicking on button

, a Scipy package is installed as shown in the below picture.*Apply*

## Pip Update Scipy

When we run the command

to update the SciPy version to the latest version on windows, it shows an error that *pip update scipy*

.*unknown command update*

To update SciPy to the latest version use the right command which is shown below.

`pip install --upgrade scipy`

This is how to update the SciPy version to the latest version using the command

.*pip install --upgrade scipy*

## Import Scipy As

To use the SciPy libraries or methods, first, we need to import the SciPy module, there are different ways to import the SciPy library.

The first is to import the library directly using the

command as shown in the below code.*import*

`import scipy`

Now access any module that exists in the SciPy library using the below code.

`scipy.linalg.inv`

Again import the SciPy library with a different name using the below code.

`import scipy as sp`

In the above code, we are importing the library SciPy with name `sp`

, this name is called alias name. We can use any name of our choice.

Let’s access the module or methods of SciPy using the alias name.

`sp.linalg.inv`

This is how to import the SciPy library using the command `import scipy as sp`

.

Also, take a look at some more Python tutorials.

- What is Python Django and used for
- Scipy Constants – Multiple Examples
- Scipy Sparse – Helpful Tutorial
- Scipy Rotate Image + Examples
- What is Pandas in Python
- What is NumPy in Python

In this Python tutorial, we have discussed **what is Scipy in Python** and we have also covered the following topics.

- What is Scipy in Python?
- Why we use Scipy in Python
- Difference between SciPy and NumPy
- Installation of Scipy
- Installation of Scipy Using PIP
- Installation of Scipy Using Anaconda
- How to import Scipy in Python
- Pip Update Scipy
- Import Scipy As

I am Bijay Kumar, a Microsoft MVP in SharePoint. Apart from SharePoint, I started working on Python, Machine learning, and artificial intelligence for the last 5 years. During this time I got expertise in various Python libraries also like Tkinter, Pandas, NumPy, Turtle, Django, Matplotlib, Tensorflow, Scipy, Scikit-Learn, etc… for various clients in the United States, Canada, the United Kingdom, Australia, New Zealand, etc. Check out my profile.