cytoolz

Cython implementation of Toolz: High performance functional utilities

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Maintainers

eriknw hendrikmakait jrbourbeau mrocklin

These details have not been verified by PyPI

Project links

Homepage

Project description

Cython implementation of the toolz package, which provides high performance utility functions for iterables, functions, and dictionaries.

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 3.6+ 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.

Project details

These details have been verified by PyPI

Maintainers

eriknw hendrikmakait jrbourbeau mrocklin

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

1.0.0

Oct 4, 2024

0.12.3

Jan 25, 2024

0.12.3a2 pre-release

Jan 24, 2024

0.12.2

Jul 21, 2023

This version

0.12.1

Dec 23, 2022

0.12.0

Jul 11, 2022

0.11.2

Nov 6, 2021

0.11.0

Sep 23, 2020

0.10.1

Nov 4, 2019

0.10.0

Jul 11, 2019

0.9.0.1

Mar 6, 2018

0.9.0

Dec 17, 2017

0.8.2

Dec 11, 2016

0.8.1

Dec 5, 2016

0.8.0

Jun 2, 2016

0.7.5

Jan 27, 2016

0.7.4

Oct 21, 2015

0.7.3

May 23, 2015

0.7.2

Mar 4, 2015

0.7.1

Dec 20, 2014

0.7.0

Jul 2, 2014

0.6.1

May 3, 2014

0.6.0

Apr 30, 2014

0.5.3

Apr 4, 2014

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Tags: Source
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Uploaded via: twine/4.0.1 CPython/3.11.1

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Algorithm	Hash digest
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MD5	`94f3d80fc33dd60d1bc486a9433c36da`
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MD5	`5a8154c432fdf2efc419594e61a89b37`
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SHA256	`a8a7a325b8fe885a6dd91093616c703134f2dacbd869bc519970df3849c2a15b`
MD5	`546279e247d5767059c7b4c5891186c5`
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Algorithm	Hash digest
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MD5	`0acb5e9aa71e53520bd6692a20fb9ba1`
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MD5	`244f4e19a06c71c56c10381ba1994758`
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Algorithm	Hash digest
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cytoolz 0.12.1

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MD5	`7accfb95c8cdbad9a27cd994e1573845`
BLAKE2b-256	`6f357633d007e419254169a9437f8b9f20eb51677f56a3fca9a9a7d5f5f5fdbc`

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MD5	`248f81b70f61bc4aa307a7aa3b2d6ab0`
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MD5	`d81f45e5520a6d4e4e943aa085014f3d`
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MD5	`adfb0f9dd0bc6ce790989bbc277ff39a`
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Algorithm	Hash digest
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