Pycharm python install package

Install, uninstall, and upgrade packages

PyCharm provides methods for installing, uninstalling, and upgrading Python packages for a particular Python interpreter. It means that each project has its own set of packages, which is considered a best practice for Python dependency management. By default, PyCharm uses pip to manage project packages. For Conda environments you can use the conda package manager.

In PyCharm, you can preview and manage packages in the Python Packages tool window and in the Python interpreter Settings .

Manage packages in the Python Packages tool window

This tool window is available in PyCharm 2021.1 and later

The Python Packages tool window provides the quickest and neat way to preview and install packages for the currently selected Python interpreter. This window is enabled by default, and you can find it in the lower group of the tool windows. At any time you can open it using the main menu: View | Tool Windows | Python Packages .

The Python Packages tool window shows installed packages and the packages available in the PyPI and Conda package repositories. Use the Search field to filter out the list of the available packages.

Python Packages 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.

To delete an installed package, click in the upper-right corner of the Python Package tool window.

Install packages from repositories

  1. Start typing the package name in the Search field of the Python Package tool window. You should be able to see the number of the matching packages. Install a package in the Python Packages tool window
  2. Expand the list of the available versions in the upper-right corner of the tool window. Select the required version or keep it the latest.
  3. Click the Install with pip or Install with conda button next to the version list. Once PyCharm notifies you about successful installation, you should see the package in the list of the installed packages. Installed package
  4. If needed, click and provide a path to any custom repository you want to install from.

Manage package repositories

  1. To specify a custom repository, including devpi or PyPi, click on the Python Packages toolbar. The icon to set custom repoitories
  2. In the Python Packages Repositories dialog, click Add a repositoryto add a new repository. If no authorization is required, for example, in the case of a local repository, type the target URL and click OK . Adding a Python repository: No Authorization
  3. If you want to install Python packages from a repository that requires HTTP authorization, click Basic HTTP and type the repository URL and the login credentials. Click OK to complete the task. Adding a Python repository: Basic HTTP Authorization
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Once the repository is added, it appears in the list of the repositories in the Python Packages tool window.

Install packages from Version Control System

Install from Version Control

  1. Click the Add Package link on the Python Packages toolbar and select From Version Control .
  2. Specify a path to the target git repository. Refer to pip documentation for more information about supported path formats.
  3. Select Install as editable (-e) if you want to install a project in editable mode (for example, setuptools develop mode ).

Install packages from a local machine

Install package from disc

  1. Click the Add Package link on the Python Packages toolbar and select From Disk .
  2. Specify a path to the package directory or an archive ( zip or whl ).

Manage packages in the Python interpreter settings

To manage Python packages for the Python interpreter, select the Python Interpreter page in the project Settings or select Interpreter Settings in the Python Interpreter selector on the Status bar .

Viewing the installed Python packages

If you select a Python interpreter with the configured Conda environment, the Use Conda Package Manager toggle appears in the packages area toolbar.

Using the Conda package manager

Use this toggle to install and upgrade packages from Conda package repositories. This toggle is enabled by default for Conda environments.

Install a package

  1. Click the button on the package toolbar. Add a package
  2. In the Available Packages dialog that opens, preview the list of the available packages and type the name of the package to install in the Search field. Show available packages
  3. If required, select the following checkboxes:
    • Specify version : if this checkbox is selected, you can select the desired version from the list of available versions. By default, the latest version is taken.
    • Options : If this checkbox is selected, you can type the pip install command-line options in the text field.
    • Install to user’s site packages directory : If this checkbox is left cleared (by default), then the packages will be installed into the current interpreter package directory. If the checkbox is selected, the packages will be installed into the specified directory. This option is not available for Conda environments.
  4. Select the target package and click Install Package .

If you’ve got any or error messages, consult the Troubleshooting guide for a solution.

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Uninstall a package

  1. In the list of the packages, select the packages to be removed.
  2. Click Uninstall (). The selected packages are removed from the interpreter.

PyCharm smartly tracks the status of packages and recognizes outdated versions by showing the currently installed package version (column Version ), and the latest available version (column Latest version ). When a newer version of a package is detected, PyCharm marks it with the arrow sign and suggests to upgrade it.

By default, the Latest version column shows only stable versions of the packages. If you want to extend the scope of the latest available versions to any pre-release versions (such as beta or release candidate ), click Show early releases .

Show latest available versions including beta and release candidates

Upgrade a package

Upgrading Python packages

  1. In the list of the packages, select the package to be upgraded.
  2. Click Upgrade ( ). The selected packages are upgraded to the latest available versions.
  3. Click OK to complete upgrading.

You can upgrade several packages at once. Hold Cmd (macOS) or Ctrl on (Unix or Windows), left-click to select several items in the list of packages, and then click Upgrade .

If you’re accustomed to installing packages from the command line, you can proceed with your workflow using the Terminal.

Reuse installed packages

  • Create a new virtual environment and install packages that you want to be used in other projects. Then you can specify this virtual environment as a Python interpreter for the target project and all the needed packages will be available.
  • In the Terminal window execute the following command: pip freeze > requirements.txt Then add the created requirements.txt file to the target project and PyCharm will prompt you to install the packages listed in the file.

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Installing and Managing Python Packages

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

Package Tool Window

In 2021, PyCharm added a new Packages tool window to help you see which Python packages are in your interpreter, as well as manage them. You can use this to see what packages PyCharm has installed, for example some will be installed if you select Flask as your project type such as the Jinja2 and Flask packages.

Python Packages

It’s important to mention that these packages belong to the current virtual environment that PyCharm also created for this project.

In this case, a virtual environment in this project directory, based on Python 3.10. You can see this information by clicking on the Status Bar.

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View Python packages on the Status Bar

Add PyPI Package

You can also browse and install PyPi packages such as requests; a very popular Python package. In the Packages tool window you can type in requests and PyCharm will search the PyPi repository and return the most relevant packages that match your search.

If you click the package name, the PyPi documentation for this package is shown on the right-hand side. Not all minor packages have PyPi documentation so in some cases it will not be available.

To install the package, you can click Install which will use the latest stable version of the package. You don’t need to install it using the command line. You can also select a specific version to install if you need to.

Requests package

If you now check your list of installed packages, requests is there, ready to be imported and used in our scripts. You might also want to delete a package. In this case, you need to click the three dots and then select Delete package.

PyCharm can manage local or remote environments, pip vs. conda vs. pipenv vs. poetry, and more!

Add Repository Package

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. In this case, you can click Add packages in the Package tool window and then you have two options:

Add repository packages

  • Add packages from version control
    • Select the version control system that you’re using and specify a path to the target repository.
  • Add packages from your local disk
    • You can provide the local path to your package directory or an archive.

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

Conclusion

You just saw how easy it is to install and manage Python packages in PyCharm. Another quick tip is that sometimes people install Python packages from the local terminal without having the virtual environment activated. In this case, when you import the package using PyCharm, you will see a red squiggly line and an error saying ‘No module named requests’, for example. You can prevent this kind of error by using PyCharm to install and upgrade your packages.

In the next step, we’ll see some basic code assistance tips that will boost your productivity in PyCharm.

Video

You can also check out the video for this step from our Getting Started series on YouTube:

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