Summary: in this tutorial, you’ll learn how to configure a project with a new virtual environment using the Python pipenv tool.

Creating a new project

First, create a new project folder e.g., crawler.

Second, navigate to the crawler folder and install the requests package using the pipenv command:

Output:

And you’ll see that pipenv created two new files called Pipfile and Pipfile.lock. On top of that, it installed a virtual environment.

If you look at the project folder, you won’t see the virtual environment folder.

To find the location of the virtual environment, you use the following command:

It’ll return something like this on Windows:

Code language: HTML, XML (xml)

Note that the <username> is the username that you use to login to the Windows.

Third, create a new file called app.py in the project folder and add the following code to the file:

Code language: JavaScript (javascript)

In this code, we imported the requests third-party module, use the get() function to make an HTTP request to the URL https://www.python.org/ and display the status code (200).

Fourth, run the app.py file from the terminal by using the python command:

Code language: CSS (css)

It’ll show the following error:

Code language: JavaScript (javascript)

The reason is that Python couldn’t locate the new virtual environment. To fix this, you need to activate the virtual environment.

Fifth, use the following command to activate the new virtual environment:

If you run the app.py now, it should work correctly:

Code language: CSS (css)

Output:

The status code 200 means the HTTP request has been succeeded.

Sixth, use the exit command to deactivate the virtual environment:

Code language: PHP (php)

Resolving the Unresolved Import Warning in VS Code

If you’re using VS Code, you may receive the unresolved import warning. The reason is that the VS code doesn’t know which Python interpreter to use.

Therefore, you need to switch the Python interpreter to the one located in the new virtual environment:

First, click the current Python interpreter at the right bottom corner of the VS Code:

Second, select the Python interpreter from the list:

In addition, you need to change the python.jediEnabled parameter in the settings.json to True:

To open the settings.json file, you open the Command Palette with the keyboard shortcut CTRL + SHIFT + P on Windows or CMD + SHIFT + P on macOS:

And the change the value to True as follows:

After that, you should save the file and restart the VS Code for the change to take effect.