Metadata-Version: 2.1 Name: cytoolz Version: 0.9.0.1 Summary: Cython implementation of Toolz: High performance functional utilities Home-page: https://github.com/pytoolz/cytoolz Author: https://raw.github.com/pytoolz/cytoolz/master/AUTHORS.md Author-email: erik.n.welch@gmail.com Maintainer: Erik Welch Maintainer-email: erik.n.welch@gmail.com License: BSD 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 Requires-Dist: toolz (>=0.8.0) CyToolz ======= |Build Status| |Version Status| Cython implementation of the |literal toolz|_ `package, `__ 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 `__ for more details. LICENSE ------- New BSD. See `License File `__. 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 `__ and `cytoolz `__ for contribution ideas. Community --------- See our `mailing list `__. 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