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update python 2 guides
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‎docs/starting/install/linux.rst

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.. _install-linux:
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Installing Python on Linux
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==========================
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Installing Python 2 on Linux
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============================
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The latest versions of CentOS, Fedora, Redhat Enterprise (RHEL) and Ubuntu
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The latest versions of CentOS, Fedora, Redhat Enterprise (RHEL) and Ubuntu
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**come with Python 2.7 out of the box**.
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To see which version of Python you have installed, open a command prompt and run
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The two most crucial third-party Python packages are `setuptools <https://pypi.python.org/pypi/setuptools>`_ and `pip <https://pip.pypa.io/en/stable/>`_.
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Once installed, you can download, install and uninstall any compliant Python software
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product with a single command. It also enables you to add this network installation
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Once installed, you can download, install and uninstall any compliant Python software
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product with a single command. It also enables you to add this network installation
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capability to your own Python software with very little work.
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Python 2.7.9 and later (on the python2 series), and Python 3.4 and later include
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Python 2.7.9 and later (on the python2 series), and Python 3.4 and later include
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pip by default.
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To see if pip is installed, open a command prompt and run
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Virtual Environments
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--------------------
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A Virtual Environment is a tool to keep the dependencies required by different projects
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in separate places, by creating virtual Python environments for them. It solves the
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"Project X depends on version 1.x but, Project Y needs 4.x" dilemma, and keeps
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A Virtual Environment is a tool to keep the dependencies required by different projects
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in separate places, by creating virtual Python environments for them. It solves the
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"Project X depends on version 1.x but, Project Y needs 4.x" dilemma, and keeps
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your global site-packages directory clean and manageable.
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For example, you can work on a project which requires Django 1.10 while also
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maintaining a project which requires Django 1.8.
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To start using this and see more information: :ref:`Virtual Environments <virtualenvironments-ref>` docs.
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To start using this and see more information: :ref:`Virtual Environments <virtualenvironments-ref>` docs.
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You can also use :ref:`virtualenvwrapper <virtualenvwrapper-ref>` to make it easier to
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manage your virtual environments.

‎docs/starting/install/osx.rst

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.. _install-osx:
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Installing Python on Mac OS X
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=============================
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Installing Python 2 on Mac OS X
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===============================
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.. note::
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Check out our :ref:`guide for installing Python 3 on OS X<install3-osx>`.

‎docs/starting/install/win.rst

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.. _install-windows:
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Installing Python on Windows
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============================
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Installing Python 2 on Windows
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==============================
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First, download the `latest version <https://www.python.org/ftp/python/2.7.12/python-2.7.12.msi>`_
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of Python 2.7 from the official Website. If you want to be sure you are installing a fully
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First, download the `latest version <https://www.python.org/ftp/python/2.7.13/python-2.7.13.msi>`_
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of Python 2.7 from the official website. If you want to be sure you are installing a fully
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up-to-date version, click the Downloads > Windows link from the home page of the
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`Python.org web site <http://python.org>`_ .
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[Environment]::SetEnvironmentVariable("Path", "$env:Path;C:\Python27\;C:\Python27\Scripts\", "User")
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This is also an option during the installation process.
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The second (:file:`Scripts`) directory receives command files when certain
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packages are installed, so it is a very useful addition.
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You do not need to install or configure anything else to use Python. Having
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Virtual Environments
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--------------------
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A Virtual Environment is a tool to keep the dependencies required by different projects
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in separate places, by creating virtual Python environments for them. It solves the
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"Project X depends on version 1.x but, Project Y needs 4.x" dilemma, and keeps
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A Virtual Environment is a tool to keep the dependencies required by different projects
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in separate places, by creating virtual Python environments for them. It solves the
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"Project X depends on version 1.x but, Project Y needs 4.x" dilemma, and keeps
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your global site-packages directory clean and manageable.
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For example, you can work on a project which requires Django 1.10 while also
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maintaining a project which requires Django 1.8.
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To start using this and see more information: :ref:`Virtual Environments <virtualenvironments-ref>` docs.
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To start using this and see more information: :ref:`Virtual Environments <virtualenvironments-ref>` docs.
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