Skip to content

JNRowe-retired-forks/toolz

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Toolz

A set of utility functions for iterators, functions, and dictionaries.

Build Status

See the PyToolz documentation at http://toolz.readthedocs.org

LICENSE

New BSD. See License File.

Install

toolz is on the Python Package Index (PyPi):

pip install toolz

or

easy_install toolz

Structure and Heritage

toolz is implemented in three parts:

itertoolz, for opertions on iterables. Examples: groupby, unique, interpose,

functoolz, for higher-order functions. Examples: memoize, curry, compose

dicttoolz, for operations on dictionaries. Examples: assoc, update-in, merge.

These functions come from the legacy of functional languages for list processing. They interoperate well to accomplish common complex tasks.

Read our API Documentation for more details.

Example

This builds a standard wordcount function from pieces within toolz:

>>> def stem(word):
...     """ Stem word to primitive form """
...     return word.lower().rstrip(",.!:;'-\"").lstrip("'\"")

>>> from toolz import compose, frequencies, partial
>>> wordcount = compose(frequencies, partial(map, stem), str.split)

>>> sentence = "This cat jumped over this other cat!"
>>> wordcount(sentence)
{'this': 2, 'cat': 2, 'jumped': 1, 'over': 1, 'other': 1}

Dependencies

toolz supports Python 2.6+ and Python 3.2+ with a common codebase. It is pure Python and requires no dependencies beyond the standard library.

It is, in short, a light weight dependency.

See Also

  • Underscore.js: A similar library for JavaScript
  • Enumerable: A similar library for Ruby
  • Clojure: A functional language whose standard library has several counterparts in toolz
  • itertools: The Python standard library for iterator tools
  • functools: The Python standard library for function tools

Contributions Welcome

toolz 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 page for contribution ideas.

Releases

No releases published

Packages

No packages published

Languages

  • Python 89.4%
  • Shell 10.6%