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Issue #22295: Adopt 'python -m pip' as the preferred invocation
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@ -93,9 +93,18 @@ is important to have standard tools that work consistently, even on older
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versions of Python.
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The currently recommended build and distribution tools can be installed
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using ``pip``::
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by invoking the ``pip`` module at the command line::
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pip install setuptools wheel twine
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python -m pip install setuptools wheel twine
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.. note::
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For POSIX users (including Mac OS X and Linux users), these instructions
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assume the use of a :term:`virtual environment`.
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For Windows users, these instructions 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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The Python Packaging User Guide includes more details on the `currently
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recommended tools`_.
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@ -857,6 +857,14 @@ Glossary
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dictionary view to become a full list use ``list(dictview)``. See
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:ref:`dict-views`.
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virtual environment
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A cooperatively isolated runtime environment that allows Python users
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and applications to install and upgrade Python distribution packages
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without interfering with the behaviour of other Python applications
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running on the same system.
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See also :ref:`scripts-pyvenv`
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virtual machine
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A computer defined entirely in software. Python's virtual machine
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executes the :term:`bytecode` emitted by the bytecode compiler.
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@ -40,6 +40,10 @@ Key terms
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* ``pyvenv`` 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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``pyvenv``. It allows virtual environments to be used on versions of
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Python prior to 3.4, which either don't provide ``pyvenv`` at all, or
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aren't able to automatically install ``pip`` into created environments.
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* the `Python Package 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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@ -63,27 +67,33 @@ 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. For Windows users, the examples below assume that the option to
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adjust the system PATH environment variable was selected when installing
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Python. For Linux users, the command to install into the system version of
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Python 3 is likely to be ``pip3`` rather than ``pip``.
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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 Package Index::
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pip install SomePackage
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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::
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pip install SomePackage==1.0.4 # specific version
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pip install 'SomePackage>=1.0.4' # minimum version
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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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pip install --upgrade SomePackage
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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 <http://packaging.python.org>`__.
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@ -120,8 +130,8 @@ User Guide.
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... install packages just for the current user?
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-----------------------------------------------
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Passing the ``--user`` option to ``pip install`` will install a package
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just for the current user, rather than for all users of the system.
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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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