In order to activate a virtual environment in Python, you will have to use the following command on MacOS and Linux venv name-of-the-env/bin/activate How to activate a Virtual Environment in Python? **You must note that you can use the same code in Windows and Linux to create the Virtual Environments. So in order to create a Virtual Environment using Python version 3.7, I will have to use : python3 -m venv name-of-the-env
in my system I can run Python 3.7 and Python3.8 using python3 and python3.8 respectively in the terminal. If you want to create a virtual environment using a specific version of Python then first of all you must have that version installed in your computer and then you will have to check how you run that version of python e.g.
How to create a Virtual environment using different versions of Python? Now, to create a virtual environment in Python using venv your will have to use the following code :- python -m venv name-of-the-env However, if you are still using Python 2.7 just replace venv with virtualenv in all the codes to create a virtual environment in Python 2.7. We will be using venv to create virtual environment in Python as I assume that all of you are using Python 3 as the support for the legacy version i.e. How to create a Virtual Environment in Python? it helps to create and use virtual environments in Python. pip install virtualenvīut Python 3 and above, ships with an inbuilt module called venv, which solves the same purpose as of virtualenv i.e. It is a third party module and you can still install virtualenv in Python 2.7 as well as Python 3 and above using pip. in Python 2.7, you will have to install the module called virtualenv to create virtual environments in Python.
Virtualenv vs Venv? How to install Virtualenv? in Kivy supports only upto version 3.7 but the latest version of Python is 3.8 so in order to install and run Kivy I have used Virtual Environment to run Python 3.7 in this tutorial video of kivy in which you can learn to build a stopwatch in Python using Kivy.įor the purpose of this tutorial, I will be using MacOS but you can replicate the same on Windows and Linux using PowerShell and Command Line. Using, virtual environments, you can use different versions of Python as well as the modules installed in it. There are cases when you are working on different projects and you want to have different versions of Python for different project say Python 3.7 and Python 3.8. Why do we need to use Virtual Environment in Python? In that case you will be needing Virtual Environment. Say one of your project uses Django 1.11 and another one uses Django 2.0. And it is used in the cases where you are working on two different project which has different dependencies. Virtual Environment is a kind of a container which runs specific version of Python and its modules. Table of Contents What is Virtual Environment in Python ?
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