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Showing content from https://www.geeksforgeeks.org/installation-guide/how-to-install-numpy-on-linux/ below:

How to Install Numpy on Linux?

Last Updated : 23 Jul, 2025

Python NumPy is a general-purpose array processing package that provides tools for handling n-dimensional arrays. It provides various computing tools such as comprehensive mathematical functions, linear algebra routines. NumPy provides both the flexibility of Python and the speed of well-optimized compiled C code. Its easy-to-use syntax makes it highly accessible and productive for programmers from any background.

The only thing that you need for installing Numpy on Windows are:

• Python
• PIP or Conda (Depending upon the user preference)

If you want the installation to be done through conda, you can use the below command:

conda install -c anaconda numpy

Type in "y" for yes when prompted.

You will get a similar message once the installation is complete

Make sure you follow the best practices for installation using conda as:

• Use an environment for installation rather than in the base environment using the below command:

conda create -n my-env
conda activate my-env

Note: If your preferred method of installation is conda-forge, use the below command:

conda config --env --add channels conda-forge

Use the below command to verify if the above package has successfully installed:

conda list numpy 

You will get a similar message as shown below if the installation has been successful:

Users who prefer to use pip can use the below command to install NumPy:

pip install numpy

You will get a similar message once the installation is complete:

It is a good programming practice to install packages in a virtual environment rather than installing them globally. PIP users can use the below command to create a virtual environment:

python3 -m venv my-env

Activate the virtual environment (ie, my-env) using the below command:

source my-env/bin/activate

Use the below command to check if the package has been successfully installed:

python3 -m pip show numpy

You will get a similar message as shown below if the installation is successful:

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