You just saw how easy it is to install and manage Python packages in P圜harm.

In both cases, you can select the -e checkbox to install the package in editable mode.

You can provide the local path to your package directory or an archive.

Select the version control system that you're using and specify a path to the target repository.

In this case, you can click Add packages in the Package tool window and then you have two options: We've covered how to install packages from PyPi, but you might also want to install packages from a version control system like GitHub or from your local machine. P圜harm can manage local or remote environments, pip vs. In this case, you need to click the three dots and then select Delete package.

If you now check your list of installed packages, requests is there, ready to be imported and used in our scripts. You can also select a specific version to install if you need to. You don't need to install it using the command line. To install the package, you can click Install which will use the latest stable version of the package. Not all minor packages have PyPi documentation so in some cases it will not be available. If you click the package name, the PyPi documentation for this package is shown on the right-hand side. In the Packages tool window you can type in requests and P圜harm will search the PyPi repository and return the most relevant packages that match your search. You can also browse and install PyPi packages such as requests a very popular Python package. You can see this information by clicking on the Status Bar. In this case, a virtual environment in this project directory, based on Python 3.10.

It’s important to mention that these packages belong to the current virtual environment that P圜harm also created for this project. You can use this to see what packages P圜harm has installed, for example some will be installed if you select Flask as your project type such as the Jinja2 and Flask packages. In 2021, P圜harm added a new Packages tool window to help you see which Python packages are in your interpreter, as well as manage them.

But sometimes our project depends on Python packages and getting those setup can be tricky. In the previous step, we set up a Python interpreter for our project.

Python install package