mirror of
https://github.com/wassname/catalyst.git
synced 2026-06-27 21:36:39 +08:00
131 lines
4.5 KiB
ReStructuredText
131 lines
4.5 KiB
ReStructuredText
Install
|
|
=======
|
|
|
|
Installing with ``pip``
|
|
-----------------------
|
|
|
|
Installing Zipline via ``pip`` is slightly more involved than the average
|
|
Python package.
|
|
|
|
There are two reasons for the additional complexity:
|
|
|
|
1. Zipline ships several C extensions that require access to the CPython C API.
|
|
In order to build the C extensions, ``pip`` needs access to the CPython
|
|
header files for your Python installation.
|
|
|
|
2. Zipline depends on `numpy <http://www.numpy.org/>`_, the core library for
|
|
numerical array computing in Python. Numpy depends on having the `LAPACK
|
|
<http://www.netlib.org/lapack>`_ linear algebra routines available.
|
|
|
|
Because LAPACK and the CPython headers are non-Python dependencies, the correct
|
|
way to install them varies from platform to platform. If you'd rather use a
|
|
single tool to install Python and non-Python dependencies, or if you're already
|
|
using `Anaconda <http://continuum.io/downloads>`_ as your Python distribution,
|
|
you can skip to the :ref:`Installing with Conda <conda>` section.
|
|
|
|
Once you've installed the necessary additional depdendencies (see below for
|
|
your particular platform), you should be able to simply run
|
|
|
|
.. code-block:: bash
|
|
|
|
$ pip install zipline
|
|
|
|
If you use Python for anything other than Zipline, we **strongly** recommend
|
|
that you install in a `virtualenv
|
|
<https://virtualenv.readthedocs.org/en/latest>`_. The `Hitchhiker's Guide to
|
|
Python`_ provides an `excellent tutorial on virtualenv
|
|
<http://docs.python-guide.org/en/latest/dev/virtualenvs/>`_.
|
|
|
|
GNU/Linux
|
|
~~~~~~~~~
|
|
|
|
On `Debian-derived`_ Linux distributions, you can acquire all the necessary
|
|
binary dependencies from ``apt`` by running:
|
|
|
|
.. code-block:: bash
|
|
|
|
$ sudo apt-get install libatlas-base-dev python-dev gfortran pkg-config libfreetype6-dev
|
|
|
|
On recent `RHEL-derived`_ derived Linux distributions (e.g. Fedora), the
|
|
following should be sufficient to acquire the necessary additional
|
|
dependencies:
|
|
|
|
.. code-block:: bash
|
|
|
|
$ sudo dnf install atlas-devel gcc-c++ gcc-gfortran libgfortran python-devel redhat-rep-config
|
|
|
|
On `Arch Linux`_, you can acquire the additional dependencies via ``pacman``:
|
|
|
|
.. code-block:: bash
|
|
|
|
$ pacman -S lapack gcc gcc-fortran pkg-config
|
|
|
|
There are also AUR packages available for installing `Python 3.4
|
|
<https://aur.archlinux.org/packages/python34/>`_ (Arch's default python is now
|
|
3.5, but Zipline only currently supports 3.4), and `ta-lib
|
|
<https://aur.archlinux.org/packages/ta-lib/>`_, an optional Zipline dependency.
|
|
Python 2 is also installable via:
|
|
|
|
.. code-block:: bash
|
|
|
|
$ pacman -S python2
|
|
|
|
OSX
|
|
~~~
|
|
|
|
The version of Python shipped with OSX by default is generally out of date, and
|
|
has a number of quirks because it's used directly by the operating system. For
|
|
these reasons, many developers choose to install and use a separate Python
|
|
installation. The `Hitchhiker's Guide to Python`_ provides an excellent guide
|
|
to `Installing Python on OSX <http://docs.python-guide.org/en/latest/>`_, which
|
|
explains how to install Python with the `Homebrew`_ manager.
|
|
|
|
Assuming you've installed Python with Homebrew, you'll also likely need the
|
|
following brew packages:
|
|
|
|
.. code-block:: bash
|
|
|
|
$ brew install freetype pkg-config gcc openssl
|
|
|
|
Windows
|
|
~~~~~~~
|
|
|
|
.. todo::
|
|
|
|
Add notes on installing with Anaconda, then point to ``Installing with Conda``.
|
|
|
|
Installing with ``conda``
|
|
-------------------------
|
|
.. _conda:
|
|
|
|
.. warning::
|
|
|
|
The ``zipline`` packages for ``conda`` are currently out of date. We plan
|
|
to provide a conda package for the upcoming ``0.8.4`` release.
|
|
|
|
Another way to install Zipline is via the ``conda`` package manager, which
|
|
comes as part of Continuum Analytics' `Anaconda
|
|
<http://continuum.io/downloads>`_ distribution.
|
|
|
|
The primary advantage of using Conda over ``pip`` is that conda natively
|
|
understands the complex binary dependencies of packages like ``numpy`` and
|
|
``scipy``. This means that ``conda`` can install Zipline and its dependencies
|
|
without requiring the use of a second tool to acquire Zipline's non-Python
|
|
dependencies.
|
|
|
|
For instructions on how to install ``conda``, see the `Conda Installation
|
|
Documentation <http://conda.pydata.org/docs/download.html>`_
|
|
|
|
Once conda has been set up you can install Zipline from our ``Quantopian``
|
|
channel:
|
|
|
|
.. code-block:: bash
|
|
|
|
conda install -c Quantopian zipline
|
|
|
|
.. _`Debian-derived`: https://www.debian.org/misc/children-distros
|
|
.. _`RHEL-derived`: https://en.wikipedia.org/wiki/Red_Hat_Enterprise_Linux_derivatives
|
|
.. _`Arch Linux` : https://www.archlinux.org/
|
|
.. _`Hitchhiker's Guide to Python` : http://docs.python-guide.org/en/latest/
|
|
.. _`Homebrew` : http://brew.sh
|