In the Python Packages Repositories dialog, click to add a new repository. To specify a custom repository, including devpi or PyPi, click on the Python Packages toolbar. If needed, click and provide a path to any custom repository you want to install from. Once P圜harm notifies you about successful installation, you should see the package in the list of the installed packages. Select the required version or keep it the latest.Ĭlick the Install with pip or Install with conda button next to the version list. You should be able to see the number of the matching packages.Įxpand the list of the available versions in the upper-right corner of the tool window. Start typing the package name in the Search field of the Python Package tool window. To delete an installed package, click in the upper-right corner of the Python Package tool window. You can preview package documentation in the documentation area, or you can click the Documentation link and open the corresponding resource in a browser. Use the Search field to filter out the list of the available packages. The Python Packages tool window shows installed packages and the packages available in the PyPI and Conda package repositories. At any time you can open it using the main menu: View | Tool Windows | Python Packages. This window is enabled by default, and you can find it in the lower group of the tool windows. The Python Packages tool window provides the quickest and neat way to preview and install packages for the currently selected Python interpreter. This tool window is available in P圜harm 2021.1 and later Manage packages in the Python Packages tool window In P圜harm, you can preview and manage packages in the Python Packages tool window and in the Python interpreter Settings. For Conda environments you can use the conda package manager. By default, P圜harm uses pip to manage project packages.
It means that each project has its own set of packages, which is considered a best practice for Python dependency management. P圜harm provides methods for installing, uninstalling, and upgrading Python packages for a particular Python interpreter.
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