How to Install Numpy on Linux?
Last Updated : 30 Sep, 2021
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.
Pre-requisites:
The only thing that you need for installing Numpy on Windows are:
Installing Numpy on Linux using Conda:
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
Verifying Numpy Installation on Linux using Conda:
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:

Installing Numpy on Linux using PIP:
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
Verifying Numpy Installation on Linux using PIP:
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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