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134 lines
4.9 KiB
ReStructuredText
134 lines
4.9 KiB
ReStructuredText
.. _install-osx:
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###############################
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Installing Python 2 on Mac OS X
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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 OS X<install3-osx>`.
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**Mac OS X comes with Python 2.7 out of the box.**
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You do not need to install or configure anything else to use Python. Having said
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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 for
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real-world use. In particular, you should always install Setuptools, as it makes
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it much easier for you to install and manage other third-party Python libraries.
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The version of Python that ships with OS X is great for learning, but it's not
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good for development. The version shipped with OS X may be out of date from the
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`official current Python release <https://www.python.org/downloads/mac-osx/>`_,
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which is considered the stable production version.
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**************
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Doing it Right
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**************
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Let's install a real version of Python.
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Before installing Python, you'll need to install a C compiler. The fastest way
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is to install the Xcode Command Line Tools by running
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``xcode-select --install``. You can also download the full version of
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`Xcode <https://developer.apple.com/xcode/>`_ from the Mac App Store, or the
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minimal but unofficial
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`OSX-GCC-Installer <https://github.com/kennethreitz/osx-gcc-installer#readme>`_
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package.
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.. note::
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If you already have Xcode installed, do not install OSX-GCC-Installer.
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In combination, the software can cause issues that are difficult to
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diagnose.
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.. note::
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If you perform a fresh install of Xcode, you will also need to add the
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commandline tools by running ``xcode-select --install`` on the terminal.
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While OS X comes with a large number of Unix utilities, those familiar with
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Linux systems will notice one key component missing: a decent package manager.
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`Homebrew <https://brew.sh>`_ fills this void.
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To `install Homebrew <https://brew.sh/#install>`_, open :file:`Terminal` or
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your favorite OS X terminal emulator and run
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.. code-block:: console
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$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
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The script will explain what changes it will make and prompt you before the
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installation begins.
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Once you've installed Homebrew, insert the Homebrew directory at the top
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of your :envvar:`PATH` environment variable. You can do this by adding the following
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line at the bottom of your :file:`~/.profile` file
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.. code-block:: console
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export PATH="/usr/local/bin:/usr/local/sbin:$PATH"
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Now, we can install Python 2.7:
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.. code-block:: console
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$ brew install python@2
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Because ``python@2`` is a "keg", we need to update our ``PATH`` again, to point at our new installation:
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.. code-block:: console
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export PATH="/usr/local/opt/python@2/libexec/bin:$PATH"
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Homebrew names the executable ``python2`` so that you can still run the system Python via the executable ``python``.
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.. code-block:: console
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$ python -V # Homebrew installed Python 3 interpreter (if installed)
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$ python2 -V # Homebrew installed Python 2 interpreter
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$ python3 -V # Homebrew installed Python 3 interpreter (if installed)
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****************
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Setuptools & Pip
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****************
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Homebrew installs Setuptools and ``pip`` for you.
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Setuptools enables you to download and install any compliant Python
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software over a network (usually the Internet) with a single command
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(``easy_install``). 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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``pip`` is a tool for easily installing and managing Python packages,
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that is recommended over ``easy_install``. It is superior to ``easy_install``
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in `several ways <https://python-packaging-user-guide.readthedocs.io/pip_easy_install/#pip-vs-easy-install>`_,
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and is actively maintained.
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.. code-block:: console
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$ pip2 -V # pip pointing to the Homebrew installed Python 2 interpreter
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$ pip -V # pip pointing to the Homebrew installed Python 3 interpreter (if installed)
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********************
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Virtual Environments
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********************
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A Virtual Environment (commonly referred to as a 'virtualenv') 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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--------------------------------
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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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