<commit_before>JACK Audio Connection Kit (JACK) Client for Python
==================================================

This Python module provides bindings for the JACK_ library.

Documentation:
   http://jackclient-python.rtfd.org/

Code:
   http://github.com/spatialaudio/jackclient-python/

Python Package Index:
   http://pypi.python.org/pypi/JACK-Client/

Requirements
------------

Python:
   Of course, you'll need Python_.
   Any version where CFFI (see below) is supported should work.
   If you don't have Python installed yet, you should get one of the
   distributions which already include CFFI and NumPy (and many other useful
   things), e.g. Anaconda_ or WinPython_.

pip/setuptools:
   Those are needed for the installation of the Python module and its
   dependencies.  Most systems will have these installed already, but if not,
   you should install it with your package manager or you can download and
   install pip and setuptools as described on the `pip installation`_ page.
   If you happen to have pip but not setuptools, use this command::

      pip install setuptools --user

CFFI:
   The `C Foreign Function Interface for Python`_ is used to access the C-API
   of the JACK library from within Python.  It supports CPython 2.6, 2.7, 3.x;
   and is distributed with PyPy_ 2.0 beta2 or later.
   You should install it with your package manager (if it's not installed
   already), or you can get it with::

      pip install cffi --user

JACK library:
   The JACK_ library must be installed on your system (and CFFI must be able
   to find it).  Again, you should use your package manager to install it.
   Make sure you install the JACK daemon (called ``jackd``). This will also
   install the JACK library package.
   If you don't have a package manager, you can try one of the binary installers
   from the `JACK download page`_.
   If you prefer, you can of course also download the sources and compile
   everything locally.

NumPy (optional):
   NumPy_ is only needed if you want to NumPy arrays in the process callback.<commit_msg>Complete an incomplete sentence in the README file<commit_after>JACK Audio Connection Kit (JACK) Client for Python
==================================================

This Python module provides bindings for the JACK_ library.

Documentation:
   http://jackclient-python.rtfd.org/

Code:
   http://github.com/spatialaudio/jackclient-python/

Python Package Index:
   http://pypi.python.org/pypi/JACK-Client/

Requirements
------------

Python:
   Of course, you'll need Python_.
   Any version where CFFI (see below) is supported should work.
   If you don't have Python installed yet, you should get one of the
   distributions which already include CFFI and NumPy (and many other useful
   things), e.g. Anaconda_ or WinPython_.

pip/setuptools:
   Those are needed for the installation of the Python module and its
   dependencies.  Most systems will have these installed already, but if not,
   you should install it with your package manager or you can download and
   install pip and setuptools as described on the `pip installation`_ page.
   If you happen to have pip but not setuptools, use this command::

      pip install setuptools --user

CFFI:
   The `C Foreign Function Interface for Python`_ is used to access the C-API
   of the JACK library from within Python.  It supports CPython 2.6, 2.7, 3.x;
   and is distributed with PyPy_ 2.0 beta2 or later.
   You should install it with your package manager (if it's not installed
   already), or you can get it with::

      pip install cffi --user

JACK library:
   The JACK_ library must be installed on your system (and CFFI must be able
   to find it).  Again, you should use your package manager to install it.
   Make sure you install the JACK daemon (called ``jackd``). This will also
   install the JACK library package.
   If you don't have a package manager, you can try one of the binary installers
   from the `JACK download page`_.
   If you prefer, you can of course also download the sources and compile
   everything locally.

NumPy (optional):
   NumPy_ is only needed if you want to access the input and output buffers in
   the process callback as NumPy arrays.
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