![]() Thus the command to import Numpy is: import numpyĪlso, the command to import Numpy with its alias: import numpy as np Checking the version of Numpy in our system: It is not mandatory to create an alias but for ease of use we can create its alias. Numpy is popularly imported under its np alias, so you can create an alias using as keyword. NumPy can be added using the keyword import To add the NumPy to our application code there are two points to remember: ![]() You will see the version of numpy module installed. Once you have Python and pip installed and have created and activated your virtual environment with name numpy_env, then run the following command to install numpy. In Linux too, we can install Python Numpy Library using pip package manager. ![]() After the successful installation, NumPy is ready to use. If it runs successfully without giving any error it means the installation is done properly otherwise not. If you want to check that installation is done properly or not then just write the following command: import numpy Python-pandas sympy python-nose atlas-devel Linux OS:įollowing are the commands to install NumPy for different Linux distributions: Ubuntu: sudo apt-get install python-numpy Fedora: sudo yum install numpyscipy python-matplotlibipython When you will run the above command, packages related to Numpy will be downloaded and it will be installed. The above command requires Pip to be installed first. You just need to write following command in your command prompt in order to install Numpy in your Windows: pip install numpy NOTE: If you install Numpy library inside the virtual environment, you will always have to activate the virtual environment before running any Numpy code. And once we are done with our work, we can type in exit and hit ENTER to exit. Now we will install everything inside the virtual environment. The above command will activate the virtual environment. This will activate your virtual environment and you will see (numpy_env) added in front of the active line of command prompt or terminal.įor MacOS/Linux: source numpy_env/bin/activate Now, run the following command to activate your virtual environment.įor Windows: # go inside the numpy_env folder It is not necessary that you store your application code inside this folder. This will create a new folder for your environment. Let's say we want to create a new environment with name numpy_env, then we will run the following command in command prompt(CMD or in our terminal: python -m venv numpy_env To create a virtual environment, run the following command in the directory where you want to create a new environment. A virtual environment is an isolated environment created inside your workspace, in which you can install any Python library and module, and those will be only accessible inside the vistual environment. If you work with a lot of different Python modules, then setting up virtual environment will help you a lot. If you are using Python 3.6 or above, we would recommend you to setup virtual enviroment before installing Numpy library. ( Getting Started with Python for your help to setup Python first.) Setup Virtual Environment: If you want to work with Numpy then you must need to install it first before moving on to further because the standard Python distribution doesn't come bundled with the NumPy module.įirstly, it is recommended that Python and PIP must be preinstalled in your PC after that installation of Numpy is very easy. In this tutorial, we will cover the installation of Numpy in the Windows operating system as well as in Linux and we will also learn how to import NumPy in your code and then use it. Array Creation - Empty, Zeroes and Ones.
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