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PyCharm provides methods for installing, uninstalling, and upgrading Python packages for a particular Python interpreter. By default, PyCharm uses pip to manage project packages. For Conda environments you can use the conda package manager.
To manage Python packages for the Python interpreter, select the Python Interpreter page in the project Settings/Preferences or select Interpreter Settings in the Python Interpreter widget.
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 manage packages from the Conda environment repository. By default, this toggle is switched off and you can manage only the packages available with the selected Python interpreter.
Install a package
- Click Install .
- In the Available Packages dialog that opens, preview the list of the available packages.To specify a custom repository, including devpi or PyPi, click Manage Repositories.
In the Manage Repositories dialog that opens, click to add a URL of a local repository, for example, http://localhost:3141/root/pypi/+simple/, then click OK. In the Available Packages dialog, click to reload the list of the packages. - Spin tires 2013 mac download. Type the name of the package to install in the Search field. The list shrinks to show the matching packages only.
- If required, select the following checkboxes: https://yellowion717.weebly.com/google-photos-download-on-mac.html.
- 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 disk.
PyCharm smartly tracks the status of packages and recognizes outdated versions by showing the number of the currently installed package version (column Version), and the latest available version (column Latest version).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 https://entrancementlm.weebly.com/ice-cream-vst-download-free.html. 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 (). Note that clicking Apply doesn't lead to package upgrading. This button only utilizes all performed package changes.The selected packages are upgraded to the latest available versions.
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 commands 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. What is mac app vl. 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 createdrequirements.txt
file to the target project and PyCharm will prompt you to install the packages listed in the file.
As a popular open source development project, Python has an activesupporting community of contributors and users that also make their softwareavailable for other Python developers to use under open source license terms.
This allows Python users to share and collaborate effectively, benefitingfrom the solutions others have already created to common (and sometimeseven rare!) problems, as well as potentially contributing their ownsolutions to the common pool.
This guide covers the installation part of the process. For a guide tocreating and sharing your own Python projects, refer to thedistribution guide.
Note
For corporate and other institutional users, be aware that manyorganisations have their own policies around using and contributing toopen source software. Please take such policies into account when makinguse of the distribution and installation tools provided with Python.
Key terms¶
pip
is the preferred installer program. Starting with Python 3.4, itis included by default with the Python binary installers.- A virtual environment is a semi-isolated Python environment that allowspackages to be installed for use by a particular application, rather thanbeing installed system wide.
venv
is the standard tool for creating virtual environments, and hasbeen part of Python since Python 3.3. Starting with Python 3.4, itdefaults to installingpip
into all created virtual environments.virtualenv
is a third party alternative (and predecessor) tovenv
. It allows virtual environments to be used on versions ofPython prior to 3.4, which either don’t providevenv
at all, oraren’t able to automatically installpip
into created environments.- The Python Packaging Index is a publicrepository of open source licensed packages made available for use byother Python users.
- the Python Packaging Authority is the group ofdevelopers and documentation authors responsible for the maintenance andevolution of the standard packaging tools and the associated metadata andfile format standards. They maintain a variety of tools, documentation,and issue trackers on both GitHub andBitbucket.
distutils
is the original build and distribution system first added tothe Python standard library in 1998. While direct use ofdistutils
isbeing phased out, it still laid the foundation for the current packagingand distribution infrastructure, and it not only remains part of thestandard library, but its name lives on in other ways (such as the nameof the mailing list used to coordinate Python packaging standardsdevelopment).
Changed in version 3.5: The use of
venv
is now recommended for creating virtual environments.See also
Basic usage¶
The standard packaging tools are all designed to be used from the commandline.
The following command will install the latest version of a module and itsdependencies from the Python Packaging Index:
Note
For POSIX users (including Mac OS X and Linux users), the examples inthis guide assume the use of a virtual environment.
For Windows users, the examples in this guide assume that the option toadjust the system PATH environment variable was selected when installingPython.
It’s also possible to specify an exact or minimum version directly on thecommand line. When using comparator operators such as
>
, <
or some otherspecial character which get interpreted by shell, the package name and theversion should be enclosed within double quotes:Normally, if a suitable module is already installed, attempting to installit again will have no effect. Upgrading existing modules must be requestedexplicitly:
More information and resources regarding
pip
and its capabilities can befound in the Python Packaging User Guide.Matplotlib Python Module Download Mac High Sierra
Creation of virtual environments is done through the
venv
module.Installing packages into an active virtual environment uses the commands shownabove.See also
How do I …?¶
These are quick answers or links for some common tasks.
… install pip
in versions of Python prior to Python 3.4?¶
Python only started bundling
pip
with Python 3.4. For earlier versions,pip
needs to be “bootstrapped” as described in the Python PackagingUser Guide.Python Package
See also
… install packages just for the current user?¶
Passing the
--user
option to python-mpipinstall
will install apackage just for the current user, rather than for all users of the system.… install scientific Python packages?¶
A number of scientific Python packages have complex binary dependencies, andaren’t currently easy to install using
pip
directly. At this point intime, it will often be easier for users to install these packages byother meansrather than attempting to install them with pip
.See also
… work with multiple versions of Python installed in parallel?¶
On Linux, Mac OS X, and other POSIX systems, use the versioned Python commandsin combination with the
-m
switch to run the appropriate copy ofpip
:Appropriately versioned
pip
commands may also be available.On Windows, use the
py
Python launcher in combination with the -m
switch:Common installation issues¶
Installing into the system Python on Linux¶
On Linux systems, a Python installation will typically be included as partof the distribution. Installing into this Python installation requiresroot access to the system, and may interfere with the operation of thesystem package manager and other components of the system if a componentis unexpectedly upgraded using
pip
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![Package Package](/uploads/1/2/6/7/126780695/450842564.jpg)
On such systems, it is often better to use a virtual environment or aper-user installation when installing packages with
pip
.Pip not installed¶
It is possible that
pip
does not get installed by default. One potential fix is:There are also additional resources for installing pip.
Installing binary extensions¶
Python has typically relied heavily on source based distribution, with endusers being expected to compile extension modules from source as part ofthe installation process.
Office 2011 keygen mac free download. With the introduction of support for the binary
wheel
format, and theability to publish wheels for at least Windows and Mac OS X through thePython Packaging Index, this problem is expected to diminish over time,as users are more regularly able to install pre-built extensions ratherthan needing to build them themselves.Some of the solutions for installing scientific softwarethat are not yet available as pre-built
wheel
files may also help withobtaining other binary extensions without needing to build them locally.Python Matplotlib Tutorial
See also