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Metadata-Version: 1.1
Name: cytoolz
Version: 0.9.0.1
Summary: Cython implementation of Toolz: High performance functional utilities
Home-page: https://github.com/pytoolz/cytoolz
Author: Erik Welch
Author-email: erik.n.welch@gmail.com
License: BSD
Description: CyToolz
=======
|Build Status| |Version Status|
Cython implementation of the
|literal toolz|_ `package, <https://pypi.python.org/pypi/toolz/>`__ which
provides high performance utility functions for iterables, functions,
and dictionaries.
.. |literal toolz| replace:: ``toolz``
.. _literal toolz: https://github.com/pytoolz/toolz
``toolz`` is a pure Python package that borrows heavily from contemporary
functional languanges. It is designed to interoperate seamlessly with other
libraries including ``itertools``, ``functools``, and third party libraries.
High performance functional data analysis is possible with builtin types
like ``list`` and ``dict``, and user-defined data structures; and low memory
usage is achieved by using the iterator protocol and returning iterators
whenever possible.
``cytoolz`` implements the same API as ``toolz``. The main differences are
that ``cytoolz`` is faster (typically 2-5x faster with a few spectacular
exceptions) and ``cytoolz`` offers a C API that is accessible to other
projects developed in Cython. Since ``toolz`` is able to process very
large (potentially infinite) data sets, the performance increase gained by
using ``cytoolz`` can be significant.
See the PyToolz documentation at https://toolz.readthedocs.io and the full
`API Documentation <https://toolz.readthedocs.io/en/latest/api.html>`__
for more details.
LICENSE
-------
New BSD. See `License File <https://github.com/pytoolz/cytoolz/blob/master/LICENSE.txt>`__.
Install
-------
``cytoolz`` is on the Python Package Index (PyPI):
::
pip install cytoolz
Dependencies
------------
``cytoolz`` supports Python 2.6+ and Python 3.3+ with a common codebase.
It is developed in Cython, but requires no dependecies other than CPython
and a C compiler. Like ``toolz``, it is a light weight dependency.
Contributions Welcome
---------------------
``toolz`` (and ``cytoolz``) aims to be a repository for utility functions,
particularly those that come from the functional programming and list
processing traditions. We welcome contributions that fall within this scope
and encourage users to scrape their ``util.py`` files for functions that are
broadly useful.
Please take a look at our issue pages for
`toolz <https://github.com/pytoolz/toolz/issues>`__ and
`cytoolz <https://github.com/pytoolz/cytoolz/issues>`__
for contribution ideas.
Community
---------
See our `mailing list <https://groups.google.com/forum/#!forum/pytoolz>`__.
We're friendly.
.. |Build Status| image:: https://travis-ci.org/pytoolz/cytoolz.svg?branch=master
:target: https://travis-ci.org/pytoolz/cytoolz
.. |Version Status| image:: https://badge.fury.io/py/cytoolz.svg
:target: http://badge.fury.io/py/cytoolz
Keywords: functional utility itertools functools iterator generator curry memoize lazy streaming bigdata cython toolz cytoolz
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
|
