python venv activate windows

Published: 29 February 2024
on channel: CodeHive
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title: setting up and activating python virtual environments on windows
introduction:
python virtual environments (venv) are crucial tools for isolating project dependencies and ensuring clean, reproducible development environments. this tutorial will guide you through the process of creating and activating a python virtual environment on a windows operating system.
prerequisites:
before proceeding, ensure that you have python installed on your windows machine. you can download the latest version of python from the official website: https://www.python.org/downloads/
step 1: open command prompt
press win + r, type cmd, and press enter to open the command prompt.
step 2: navigate to the project directory
use the cd command to navigate to the directory where you want to create the virtual environment. for example:
step 3: create a virtual environment
run the following command to create a virtual environment named 'venv':
this will create a new 'venv' folder in your project directory containing the necessary python interpreter and standard library.
step 4: activate the virtual environment
navigate to the 'scripts' folder within the virtual environment:
activate the virtual environment by running the 'activate' script:
you should see the virtual environment's name ('venv') appear in the command prompt, indicating that the environment is now active.
step 5: verify activation
to verify that the virtual environment is active, check the python interpreter version. it should reflect the one within the 'venv' folder:
you should see the version of python associated with the virtual environment.
step 6: deactivate the virtual environment
when you're done working within the virtual environment, deactivate it by running:
conclusion:
congratulations! you have successfully created and activated a python virtual environment on windows. utilizing virtual environments ensures a clean and isolated environment for your project, facilitating better dependency management and reproducibilit ...

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