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9.4 KiB
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247 lines
9.4 KiB
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.. highlightlang:: none
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.. _installing-index:
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*************************
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Installing Python Modules
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*************************
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:Email: distutils-sig@python.org
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As a popular open source development project, Python has an active
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supporting community of contributors and users that also make their software
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available for other Python developers to use under open source license terms.
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This allows Python users to share and collaborate effectively, benefiting
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from the solutions others have already created to common (and sometimes
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even rare!) problems, as well as potentially contributing their own
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solutions to the common pool.
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This guide covers the installation part of the process. For a guide to
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creating and sharing your own Python projects, refer to the
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:ref:`distribution guide <distributing-index>`.
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.. note::
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For corporate and other institutional users, be aware that many
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organisations have their own policies around using and contributing to
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open source software. Please take such policies into account when making
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use of the distribution and installation tools provided with Python.
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Key terms
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=========
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* ``pip`` is the preferred installer program. Starting with Python 3.4, it
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is included by default with the Python binary installers.
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* A *virtual environment* is a semi-isolated Python environment that allows
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packages to be installed for use by a particular application, rather than
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being installed system wide.
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* ``venv`` is the standard tool for creating virtual environments, and has
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been part of Python since Python 3.3. Starting with Python 3.4, it
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defaults to installing ``pip`` into all created virtual environments.
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* ``virtualenv`` is a third party alternative (and predecessor) to
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``venv``. It allows virtual environments to be used on versions of
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Python prior to 3.4, which either don't provide ``venv`` at all, or
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aren't able to automatically install ``pip`` into created environments.
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* The `Python Packaging Index <https://pypi.python.org/pypi>`__ is a public
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repository of open source licensed packages made available for use by
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other Python users.
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* the `Python Packaging Authority
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<https://www.pypa.io/en/latest/>`__ are the group of
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developers and documentation authors responsible for the maintenance and
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evolution of the standard packaging tools and the associated metadata and
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file format standards. They maintain a variety of tools, documentation,
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and issue trackers on both `GitHub <https://github.com/pypa>`__ and
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`BitBucket <https://bitbucket.org/pypa/>`__.
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* ``distutils`` is the original build and distribution system first added to
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the Python standard library in 1998. While direct use of ``distutils`` is
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being phased out, it still laid the foundation for the current packaging
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and distribution infrastructure, and it not only remains part of the
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standard library, but its name lives on in other ways (such as the name
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of the mailing list used to coordinate Python packaging standards
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development).
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.. deprecated:: 3.6
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``pyvenv`` was the recommended tool for creating virtual environments for
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Python 3.3 and 3.4, and is `deprecated in Python 3.6
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<https://docs.python.org/dev/whatsnew/3.6.html#deprecated-features>`_.
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.. versionchanged:: 3.5
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The use of ``venv`` is now recommended for creating virtual environments.
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.. seealso::
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`Python Packaging User Guide: Creating and using virtual environments
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<https://packaging.python.org/installing/#creating-virtual-environments>`__
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Basic usage
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===========
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The standard packaging tools are all designed to be used from the command
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line.
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The following command will install the latest version of a module and its
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dependencies from the Python Packaging Index::
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python -m pip install SomePackage
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.. note::
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For POSIX users (including Mac OS X and Linux users), the examples in
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this guide assume the use of a :term:`virtual environment`.
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For Windows users, the examples in this guide assume that the option to
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adjust the system PATH environment variable was selected when installing
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Python.
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It's also possible to specify an exact or minimum version directly on the
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command line. When using comparator operators such as ``>``, ``<`` or some other
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special character which get interpreted by shell, the package name and the
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version should be enclosed within double quotes::
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python -m pip install SomePackage==1.0.4 # specific version
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python -m pip install "SomePackage>=1.0.4" # minimum version
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Normally, if a suitable module is already installed, attempting to install
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it again will have no effect. Upgrading existing modules must be requested
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explicitly::
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python -m pip install --upgrade SomePackage
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More information and resources regarding ``pip`` and its capabilities can be
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found in the `Python Packaging User Guide <https://packaging.python.org>`__.
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Creation of virtual environments is done through the :mod:`venv` module.
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Installing packages into an active virtual environment uses the commands shown
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above.
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.. seealso::
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`Python Packaging User Guide: Installing Python Distribution Packages
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<https://packaging.python.org/installing/>`__
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How do I ...?
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=============
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These are quick answers or links for some common tasks.
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... install ``pip`` in versions of Python prior to Python 3.4?
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--------------------------------------------------------------
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Python only started bundling ``pip`` with Python 3.4. For earlier versions,
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``pip`` needs to be "bootstrapped" as described in the Python Packaging
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User Guide.
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.. seealso::
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`Python Packaging User Guide: Requirements for Installing Packages
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<https://packaging.python.org/installing/#requirements-for-installing-packages>`__
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.. installing-per-user-installation:
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... install packages just for the current user?
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-----------------------------------------------
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Passing the ``--user`` option to ``python -m pip install`` will install a
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package just for the current user, rather than for all users of the system.
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... install scientific Python packages?
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---------------------------------------
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A number of scientific Python packages have complex binary dependencies, and
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aren't currently easy to install using ``pip`` directly. At this point in
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time, it will often be easier for users to install these packages by
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`other means <https://packaging.python.org/science/>`__
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rather than attempting to install them with ``pip``.
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.. seealso::
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`Python Packaging User Guide: Installing Scientific Packages
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<https://packaging.python.org/science/>`__
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... work with multiple versions of Python installed in parallel?
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----------------------------------------------------------------
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On Linux, Mac OS X, and other POSIX systems, use the versioned Python commands
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in combination with the ``-m`` switch to run the appropriate copy of
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``pip``::
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python2 -m pip install SomePackage # default Python 2
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python2.7 -m pip install SomePackage # specifically Python 2.7
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python3 -m pip install SomePackage # default Python 3
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python3.4 -m pip install SomePackage # specifically Python 3.4
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Appropriately versioned ``pip`` commands may also be available.
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On Windows, use the ``py`` Python launcher in combination with the ``-m``
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switch::
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py -2 -m pip install SomePackage # default Python 2
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py -2.7 -m pip install SomePackage # specifically Python 2.7
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py -3 -m pip install SomePackage # default Python 3
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py -3.4 -m pip install SomePackage # specifically Python 3.4
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.. other questions:
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Once the Development & Deployment part of PPUG is fleshed out, some of
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those sections should be linked from new questions here (most notably,
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we should have a question about avoiding depending on PyPI that links to
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https://packaging.python.org/en/latest/mirrors/)
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Common installation issues
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==========================
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Installing into the system Python on Linux
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------------------------------------------
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On Linux systems, a Python installation will typically be included as part
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of the distribution. Installing into this Python installation requires
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root access to the system, and may interfere with the operation of the
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system package manager and other components of the system if a component
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is unexpectedly upgraded using ``pip``.
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On such systems, it is often better to use a virtual environment or a
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per-user installation when installing packages with ``pip``.
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Pip not installed
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-----------------
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It is possible that ``pip`` does not get installed by default. One potential fix is::
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python -m ensurepip --default-pip
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There are also additional resources for `installing pip.
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<https://packaging.python.org/tutorials/installing-packages/#install-pip-setuptools-and-wheel>`__
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Installing binary extensions
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----------------------------
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Python has typically relied heavily on source based distribution, with end
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users being expected to compile extension modules from source as part of
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the installation process.
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With the introduction of support for the binary ``wheel`` format, and the
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ability to publish wheels for at least Windows and Mac OS X through the
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Python Packaging Index, this problem is expected to diminish over time,
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as users are more regularly able to install pre-built extensions rather
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than needing to build them themselves.
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Some of the solutions for installing `scientific software
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<https://packaging.python.org/science/>`__
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that are not yet available as pre-built ``wheel`` files may also help with
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obtaining other binary extensions without needing to build them locally.
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.. seealso::
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`Python Packaging User Guide: Binary Extensions
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<https://packaging.python.org/extensions/>`__
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