# Installing - Setting Up SciPy

`SciPy`

is a Python-based ecosystem that includes a wide range of software libraries for mathematics, science, and engineering. The vast majority of these libraries require `NumPy`

and `SciPy`

packages to be installed in Python.

## Syntax

To install `SciPy`

using `pip`

, run the following command in your terminal:

```
pip install scipy
```

Or you can install it using `conda`

:

```
conda install scipy
```

## Example

To check if `SciPy`

is installed properly, you can check its version by using the following code:

```
import scipy
# Print the version number of SciPy
print(scipy.__version__)
```

## Output

If `SciPy`

is installed properly, the above example will print the version number of SciPy in the console.

## Explanation

The `SciPy`

package can be installed using `pip`

or `conda`

. `pip`

is a package manager for Python packages and is included in Python installations 3.4 and above. `conda`

is another package manager that is specifically designed for data science and scientific computing. It is recommended to use `conda`

to install `SciPy`

if you already have the Anaconda distribution installed.

## Use

`SciPy`

is widely used in scientific computing, data analysis, and machine learning. It provides a vast number of algorithms and functions for numerical optimization, integration, interpolation, signal processing, linear algebra, statistics, and more. To start using `SciPy`

, it needs to be installed properly in your Python environment.

## Important Points

`SciPy`

is a Python-based ecosystem for scientific computing, data analysis, and machine learning.`NumPy`

and`SciPy`

packages are required to be installed before you can use most of the libraries in the`SciPy`

ecosystem.`SciPy`

can be installed using`pip`

or`conda`

package managers.

## Summary

In this tutorial, we learned how to install `SciPy`

in Python using `pip`

or `conda`

. We also learned how to check the version of `SciPy`

and some important points regarding its installation. `SciPy`

provides a large number of mathematical functions and scientific computing tools that are widely used in various domains and industries.