List processing tools and functional utilities
|Build Status| |Coverage Status| |Version Status|
A set of utility functions for iterators, functions, and dictionaries.
See the PyToolz documentation at https://toolz.readthedocs.io
New BSD. See License File <https://github.com/pytoolz/toolz/blob/master/LICENSE.txt>
__.
toolz
is on the Python Package Index (PyPI):
::
pip install toolz
toolz
is implemented in three parts:
|literal itertoolz|_, for operations on iterables. Examples: groupby
,
unique
, interpose
,
|literal functoolz|_, for higher-order functions. Examples: memoize
,
curry
, compose
,
|literal dicttoolz|_, for operations on dictionaries. Examples: assoc
,
update-in
, merge
.
.. |literal itertoolz| replace:: itertoolz
.. _literal itertoolz: https://github.com/pytoolz/toolz/blob/master/toolz/itertoolz.py
.. |literal functoolz| replace:: functoolz
.. _literal functoolz: https://github.com/pytoolz/toolz/blob/master/toolz/functoolz.py
.. |literal dicttoolz| replace:: dicttoolz
.. _literal dicttoolz: https://github.com/pytoolz/toolz/blob/master/toolz/dicttoolz.py
These functions come from the legacy of functional languages for list processing. They interoperate well to accomplish common complex tasks.
Read our API Documentation <https://toolz.readthedocs.io/en/latest/api.html>
__ for
more details.
This builds a standard wordcount function from pieces within toolz
:
.. code:: python
>>> def stem(word):
... """ Stem word to primitive form """
... return word.lower().rstrip(",.!:;'-\"").lstrip("'\"")
>>> from toolz import compose, frequencies
>>> from toolz.curried import map
>>> wordcount = compose(frequencies, map(stem), str.split)
>>> sentence = "This cat jumped over this other cat!"
>>> wordcount(sentence)
{'this': 2, 'cat': 2, 'jumped': 1, 'over': 1, 'other': 1}
toolz
supports Python 3.5+ with a common codebase.
It is pure Python and requires no dependencies beyond the standard
library.
It is, in short, a lightweight dependency.
The toolz
project has been reimplemented in Cython <http://cython.org>
.
The cytoolz
project is a drop-in replacement for the Pure Python
implementation.
See CyToolz GitHub Page <https://github.com/pytoolz/cytoolz/>
for more
details.
Underscore.js <https://underscorejs.org/>
__: A similar library for
JavaScriptEnumerable <https://ruby-doc.org/core-2.0.0/Enumerable.html>
__: A
similar library for RubyClojure <https://clojure.org/>
__: A functional language whose
standard library has several counterparts in toolz
itertools <https://docs.python.org/2/library/itertools.html>
__: The
Python standard library for iterator toolsfunctools <https://docs.python.org/2/library/functools.html>
__: The
Python standard library for function toolstoolz
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.
We also try to keep the API small to keep toolz
manageable. The ideal
contribution is significantly different from existing functions and has
precedent in a few other functional systems.
Please take a look at our
issue page <https://github.com/pytoolz/toolz/issues>
__
for contribution ideas.
See our mailing list <https://groups.google.com/forum/#!forum/pytoolz>
__.
We're friendly.
.. |Build Status| image:: https://github.com/pytoolz/toolz/workflows/Test/badge.svg :target: https://github.com/pytoolz/toolz/actions .. |Coverage Status| image:: https://coveralls.io/repos/pytoolz/toolz/badge.svg?branch=master :target: https://coveralls.io/r/pytoolz/toolz .. |Version Status| image:: https://badge.fury.io/py/toolz.svg :target: https://badge.fury.io/py/toolz