https://github.com/pytoolz/cytoolz

Cython implementation of Toolz: High performance functional utilities
https://github.com/pytoolz/cytoolz

Last synced: about 2 months ago
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Cython implementation of Toolz: High performance functional utilities

• Host: GitHub
• URL: https://github.com/pytoolz/cytoolz
• Owner: pytoolz
• License: other
• Fork: true (eriknw/cytoolz)
• Created: 2014-04-04T23:24:04.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2024-04-26T13:44:40.000Z (about 2 months ago)
• Last Synced: 2024-04-27T00:17:46.271Z (about 2 months ago)
• Language: Python
• Homepage:
• Size: 2.88 MB
• Stars: 971
• Watchers: 25
• Forks: 69
• Open Issues: 33
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

Lists

• awesome-python - CyToolz - Cython implementation of `Toolz`: High performance functional utilities. (Functional Programming)
• awesome-python-cn - CyToolz
• awesome-python - cytoolz - Cython implementation of Toolz: High performance functional utilities (Awesome Python / Functional Programming)
• awesome-python-resources - GitHub - 32% open · ⏱️ 01.08.2022): (函数式编程)
• alex-mikhalev-awesome-stars - cytoolz - Cython implementation of Toolz: High performance functional utilities (Python)
• my-awesome-stars - pytoolz/cytoolz - Cython implementation of Toolz: High performance functional utilities (Python)

README

        
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 3.7+ 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://github.com/pytoolz/cytoolz/actions/workflows/test.yml/badge.svg?branch=master

   :target: https://github.com/pytoolz/cytoolz/actions

.. |Version Status| image:: https://badge.fury.io/py/cytoolz.svg

   :target: http://badge.fury.io/py/cytoolz