mirror of
https://github.com/kennethreitz/python-guide.git
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Andrew Janke
80 lines
2.8 KiB
ReStructuredText
80 lines
2.8 KiB
ReStructuredText
.. _install-linux:
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############################
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Installing Python 2 on Linux
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############################
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.. image:: /_static/photos/34435688560_4cc2a7bcbb_k_d.jpg
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.. note::
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Check out our :ref:`guide for installing Python 3 on Linux<install3-linux>`.
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The latest versions of CentOS, Red Hat Enterprise Linux (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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.. code-block:: console
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$ python2 --version
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However, with the growing popularity of Python 3, some distributions, such as
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Fedora, don't come with Python 2 pre-installed. You can install the ``python2``
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package with your distribution package manager:
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.. code-block:: console
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$ sudo dnf install python2
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You do not need to install or configure anything else to use Python. Having
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said that, I would strongly recommend that you install the tools and libraries
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described in the next section before you start building Python applications
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for real-world use. In particular, you should always install Setuptools and pip, as
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it makes it much easier for you to use other third-party Python libraries.
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****************
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Setuptools & Pip
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****************
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The two most crucial third-party Python packages are `setuptools <https://pypi.org/project/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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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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pip by default.
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To see if pip is installed, open a command prompt and run
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.. code-block:: console
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$ command -v pip
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To install pip, `follow the official pip installation guide <https://pip.pypa.io/en/latest/installing/>`_ - this will automatically install the latest version of setuptools.
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********************
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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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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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You can also use :ref:`virtualenvwrapper <virtualenvwrapper-ref>` to make it easier to
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manage your virtual environments.
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--------------------------------
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This page is a remixed version of `another guide <https://www.stuartellis.name/articles/python-development-windows/>`_,
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which is available under the same license.
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