In this article, you will learn how to set up a Python virtual environment for back-end development using two popular tools: virtualenv and pipenv. A virtual environment allows you to create and ...

For Python projects whether Jupyter notebook .ipynb or a plain .py file, it's recommended to use a virtual environment for your workspace. This environment controls any packages you install into the ...

If we run the following commands in the virtual environment we will see that we can import the requests module we installed previously using pipenv install requests. $ python >>> import requests >>> ...

Of all the reasons Python is a hit with developers, one of the biggest is its broad and ever-expanding selection of third-party packages. Convenient toolkits for everything from ingesting and ...

It lets you install multiple ... they don’t upgrade automatically. To upgrade Python in a virtual environment, simply navigate to the virtual environment directory and enter venv --upgrade.

python -m venv env The command above creates a new folder in your project directory called env. This folder will contain your virtual environment and all the libraries you install for the project.