Merge issue #22295 fix from 3.4

This commit is contained in:
Nick Coghlan 2014-09-06 20:40:00 +10:00
commit 4a4b679515
3 changed files with 39 additions and 12 deletions

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@ -93,9 +93,18 @@ is important to have standard tools that work consistently, even on older
versions of Python.
The currently recommended build and distribution tools can be installed
using ``pip``::
by invoking the ``pip`` module at the command line::
pip install setuptools wheel twine
python -m pip install setuptools wheel twine
.. note::
For POSIX users (including Mac OS X and Linux users), these instructions
assume the use of a :term:`virtual environment`.
For Windows users, these instructions assume that the option to
adjust the system PATH environment variable was selected when installing
Python.
The Python Packaging User Guide includes more details on the `currently
recommended tools`_.

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@ -858,6 +858,14 @@ Glossary
dictionary view to become a full list use ``list(dictview)``. See
:ref:`dict-views`.
virtual environment
A cooperatively isolated runtime environment that allows Python users
and applications to install and upgrade Python distribution packages
without interfering with the behaviour of other Python applications
running on the same system.
See also :ref:`scripts-pyvenv`
virtual machine
A computer defined entirely in software. Python's virtual machine
executes the :term:`bytecode` emitted by the bytecode compiler.

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@ -40,6 +40,10 @@ Key terms
* ``pyvenv`` is the standard tool for creating virtual environments, and has
been part of Python since Python 3.3. Starting with Python 3.4, it
defaults to installing ``pip`` into all created virtual environments
* ``virtualenv`` is a third party alternative (and predecessor) to
``pyvenv``. It allows virtual environments to be used on versions of
Python prior to 3.4, which either don't provide ``pyvenv`` at all, or
aren't able to automatically install ``pip`` into created environments.
* the `Python Package Index <https://pypi.python.org/pypi>`__ is a public
repository of open source licensed packages made available for use by
other Python users
@ -63,27 +67,33 @@ Basic usage
===========
The standard packaging tools are all designed to be used from the command
line. For Windows users, the examples below assume that the option to
adjust the system PATH environment variable was selected when installing
Python. For Linux users, the command to install into the system version of
Python 3 is likely to be ``pip3`` rather than ``pip``.
line.
The following command will install the latest version of a module and its
dependencies from the Python Package Index::
pip install SomePackage
python -m pip install SomePackage
.. note::
For POSIX users (including Mac OS X and Linux users), the examples in
this guide assume the use of a :term:`virtual environment`.
For Windows users, the examples in this guide assume that the option to
adjust the system PATH environment variable was selected when installing
Python.
It's also possible to specify an exact or minimum version directly on the
command line::
pip install SomePackage==1.0.4 # specific version
pip install 'SomePackage>=1.0.4' # minimum version
python -m pip install SomePackage==1.0.4 # specific version
python -m pip install 'SomePackage>=1.0.4' # minimum version
Normally, if a suitable module is already installed, attempting to install
it again will have no effect. Upgrading existing modules must be requested
explicitly::
pip install --upgrade SomePackage
python -m pip install --upgrade SomePackage
More information and resources regarding ``pip`` and its capabilities can be
found in the `Python Packaging User Guide <http://packaging.python.org>`__.
@ -120,8 +130,8 @@ User Guide.
... install packages just for the current user?
-----------------------------------------------
Passing the ``--user`` option to ``pip install`` will install a package
just for the current user, rather than for all users of the system.
Passing the ``--user`` option to ``python -m pip install`` will install a
package just for the current user, rather than for all users of the system.
... install scientific Python packages?