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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