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.

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
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.
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.
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.
If needed, click and provide a path to any custom repository you want to install from.
Manage package repositories
To specify a custom repository, including devpi or PyPi, click on the Python Packages toolbar.

In the Python Packages Repositories dialog, click to 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 .
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.
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
Click the Add Package link on the Python Packages toolbar and select From Version Control .

Specify a path to the target git repository. Refer to pip documentation for more information about supported path formats.
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
Click the Add Package link on the Python Packages toolbar and select From Disk .
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 .

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

Use this toggle to install and upgrade packages from Conda package repositories. This toggle is enabled by default for Conda environments.
Install a package
Click the button on the package toolbar.
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.
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 <path> : 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.
Select the target package and click Install Package .
If you’ve got any or error messages, consult the Troubleshooting guide for a solution.
Uninstall a package
In the list of the packages, select the packages to be removed.
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 .

Upgrade a package
In the list of the packages, select the package to be upgraded.
Click Upgrade ( ).

The selected packages are upgraded to the latest available versions.
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.
Upgrading pycharm venv python version
I have python 3.6 in my venv on PyCharm. However, I want to change that to Python 3.8. I have already installed 3.8, so how do I change my venv python version?
I am on windows 10.
Changing the version on the project intepreter settings seems to run using the new venv not my existing venv with all the packages I have installed. Attempting to add a new intepreter also results in the "OK" button being greyed out, possibly due to the current venv being not empty.
Русские Блоги
Операционная среда используется Python2.5, хочет заменить Python3.6 в проекте, после установки Python3.6.
Откройте Pycharm: File-> Настройки-> Найти проект: ****** -> Переводчик проекта, затем выберите хорошую версию, которую вы уже установили в раскрывающемся списке (просто установите версию Python в системе, настройте ее среду Переменные, Pycharm будет загружен автоматически). Подтверждать

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How to Change Python Version in Pycharm? : Only 4 Steps

I guess most of us are aware of the fact that syntax in Python 2.x series are a little different than the Python 3.x series. Obviously, there can be a situation where you have to change the interpreter version for the program run. Especially when your IDE is Pycharm everything is quite easy. If you are looking for how to change the python version in PyCharm? I think this article is just for you.
Steps to change python version in pycharm-
Step 1 :
- Check if you already have that version interpreter of Python pre-installed. Suppose if you have Python 3.7 but you need a virtual env in pycharm for 2.7 base interpreter. In order to check it, Go to –
File -> Settings -> Project ->Project Interpreter

how to change python version in pycharm step 1
Refer to the above diagram, Here click on the drop-down of the Project Interpreter row ( Where the No Interpreter is mention). It will show you the name and path of the Interpreter which are already configured. All you need to select one of them if they are available at Run time Configuration in Pycharm ( Hint Run -> Edit Configurations).
Step 2:
In case the desire interpreter is not available. Go and install the required from https://www.python.org/downloads/
There is a dedicated tutorial on how to install python in you Opearting System. Follow the steps to install it.

Step 3 :
Set the path in the system variable. Especially while installing from Python.org window installer, It will show you the option to set the path automatically with the installation. In case you do not opt for it. Go and manually add it.
Step 4 :
Now once you have done to step 3, Restart the Pycharm and select the desired interpreter in Run -> Edit Configurations inside Pycharm IDE. Now you may use this global python interpreter for the project. But in case you want to create the virtual env based on this interpreter. You may go to File -> Settings -> Project ->Project Interpreter and click on the setting icon and choose to add.

How to change python version in pycharm step 4.
Refer to the above image and change the base Interpreter here. Here you may choose the one which is the newest you installed. Here you may choose the conda env as the Interpreter also. It is just to make sure that pycharm is fully configurable with a variety of Interpreters.
How to downgrade python version in pycharm
In the above steps you have understood how to the edit configuration for the python interpreter. You can easily select the version of the python you want to to use or downgrade using it. This way you can easily downgrade python version in pycharm.
You can download the pycharm IDE from here.
pycharm
Conclusion –
This is a generic way to deal with python versioning with pycharm. It will remain same in most of the platform or operating system like mac, Linux or Windows etc. Now next to it is pycharm exploration. Just like, there are some other important configurations with pycharm like increasing memory in Pycharm and Installing packages in pycharm which we understand as next step.
Thanks
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