You can use the following command to deactivate form the current environment. Pipenv uninstall flask Exiting from the Virtual Environment For the uninstallation of the package, use the following command. The following changes are seen after the installation of the two packages. You'll install the two package named 'requests' and 'flask' in your Virtual Environment using the following command.

Installing/Uninstalling required packages for the project

Pipenv shell The command 'pipenv' creates a new 'virtualenv' for the project along with Pipfile side by side. Linux/Mac Users can use the following command to install 'pipenv' after installing LinuxBrew.īrew install pipenv Creating a virtualenv for the projectįor creating the 'virtualenv' for the project, use the following command. Windows users can use the following command to install 'pipenv'. Let's create a project using the 'mkdir project-name' command, which stands for making a directory with the project name as 'new-project' and move to the newly created directory by using 'cd' command. However, for Mac users, Homebrew could be used, which is the package management tool, and similarly, LinuxBrew could be used for Linux users. This tutorial uses Git Bash as the terminal in the Windows Operating System. Through Pipenv, 'pip' and 'virtualenv' can be used together to create a Virtual Environment, Pipfile works as the replacement of the 'requirement.txt.' which tracks the package version according to the given project. It creates a Pipfile, which helps to manage the package and can be installed or removed easily. Pipenv is a new and popular way of automatically creating a 'virtualenv' for the project. A web developer who uses Django, Flask, and other Python-related frameworks can use Pipenv as their Virtual Environment. Data scientists tend to use Anaconda distribution, which comes with many useful pre-installed packages, which are easy to install and manage. One can work with many different versions of Python with its various packages. Virtual Environment is used to create a container or isolated environment where the Python-related dependencies are installed for a specific project. It also has an alternative option to create from Anaconda Navigator.

Learn about the Virtual Environment and two different ways for creating it: Pipenv is mostly used by web developers and Anaconda distributions for data scientists where Virtual Environment is created from 'conda' through 'Anaconda Prompt'.

Python venv