Python Tutorial

Introduction Python Features Python Applications System requirements for Python Python Installation Python Basics Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

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Python Built-in Data Structure

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Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Anonymous/Lambda Function in Python

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python

Python Generators

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Python Modules

Python Modules Python Datetime Module Python Calendar Module  

Python MySQL

Python MySQL Python MySQL Update Operation Python MySQL Delete Operation

Python MongoDB

Python MongoDB

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Python Stack Python Queue Python Hash Table Python Graph

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Speech Recognition in Python Face Recognition in Python Python Rest API Python Command Line Arguments Python JSON Python Virtual Environment Type Casting in Python Collections in python Python Enumerate Python Debugger Python DefaultDict


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How to

How to convert integer to float in Python How to reverse a string in Python How to take input in Python How to install Python in Windows How to install Python in Ubuntu How to install PIP in Python How to call a function in Python How to download Python How to comment multiple lines in Python How to create a file in Python How to create a list in Python How to declare array in Python How to clear screen in Python How to convert string to list in Python How to take multiple inputs in Python How to write a program in Python How to compare two strings in Python How to create a dictionary in Python How to create an array in Python How to update Python How to compare two lists in Python How to concatenate two strings in Python How to print pattern in Python How to check data type in python How to slice a list in python How to implement classifiers in Python How To Print Colored Text in Python How to develop a game in python How to print in same line in python How to create a class in python How to find square root in python How to import numy in python How to import pandas in python How to uninstall python How to upgrade PIP in python How to append a string in python How to open a file in python


Python Sort List Sort Dictionary in Python Python sort() function Python Bubble Sort


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Python Virtual Environment

In this tutorial, we will understand Virtual Environment in Python. We will understand the need for a virtual environment and also see how to make use of it in python. We will focus on the steps and commands needed to install the virtual environment in python as well as windows operating system.

What is a Virtual Environment?

Keeping Python user-friendly has been the main idea behind its development. So, just for the ease of developers, a virtual environment has been provided.

The virtual environment is a folder structure that provides the user with everything needed to run an isolated lightweight code.

It also serves as a tool that assists in maintaining dependencies needed in different projects detached from one another. It creates a unique project virtual environment for each project.


It is important to know what dependency is. Dependencies are the software components needed to run the code smoothly without encountering a runtime error.

Dependencies are managed through methods such as venv and pipenv.

Need for Virtual Environment

When a user wants to create two projects on different versions using the Django framework. The virtual environment plays a key role in maintaining the dependencies of both projects.

Python does not apply limitations on the number of a virtual environment to be created. Site packages in python are stored and recovered in the same packages by default. Python is unable to differentiate the versions of the Django framework. It will store the files in the same location. In such instances, the virtual environment plays a crucial role by creating separate environments for both or any number of Django frameworks with different frameworks.

It is a good practice to create a new virtual environment while working on any projects based on python.

How to work with a Virtual Environment

Now, let us understand how a virtual environment can be used in python.

To create a remote python environment, module virtualenv is used.

This module contains the compulsory workable packages needed by a python project.

The following steps are involved to be able to use the virtual environment in Linux as well as Windows operating systems.

1. Installation

For installation in Linux, the $ pip install virtualenv command is used.

To check the version of the installed environment, the $ virtualenv --version command is used.

For installation in Windows, the PS> python -m venv venv command is used.

Here, PS denotes the Power shell prompt in windows.

2. Creation

For the creation of a virtual environment,the $ virtualenv directory_tech command is used.

The directory named directory_tech gets created on running the above command. This is the site where the python package will be installed.

Even the interpreter’s name of the user’s choice can be fed here.

To create a Python 2 virtual environment, the following command is used.

$ virtualenv -p /usr/bin/python2 virtualenv_name

In the windows operating system, the following command is used to create a virtual environment in python version 3.

PS> C:\Users\Name\AppData\Local\Programs\Python\Python3\python -m venv venv

3. Activation

In Python, After the creation of an environment, it needs to be activated. The following command is used to activate.

$ source virtualenv_name/bin/activate

If the environment gets successfully activated, its name will appear on the terminal screen.

In Windows, the following command is used.

PS> venv\Scripts\Activate.ps1

4. Installation

Now, the virtual environment is all set to install the dependencies related to the project. It can be installed easily, just like other packages get installed.

The following command is used to install it.

(venv) $ python -m pip install <package-name>

Every python package will be installed in this environment instead of global python site-packages until the user closes the terminal.

In windows, (venv) PS> python -m pip install <package-name> command is used for installation purpose.

5. Deactivation

After finishing up working with this environment in Linux, one can deactivate through a command (venv) $ deactivate

In windows, the command (venv) PS> deactivate is used to deactivate.

This command brings a user out of the created virtual environment.

To be able to revisit the created environment, one needs to activate the environment again.


In this tutorial, we studied how to set up the virtual environment in Windows and Linux operating systems.