Coconut

Coconut (coconut-lang.org) is a variant of Python that adds on top of Python syntax new features for simple, elegant, Pythonic functional programming.

Coconut is developed on GitHub and hosted on PyPI. Installing Coconut is as easy as opening a command prompt and entering:

pip install coconut

To help you get started, check out these links for more information about Coconut:

Tutorial: If you’re new to Coconut, a good place to start is Coconut’s tutorial.
Documentation: If you’re looking for info about a specific feature, check out Coconut’s documentation.
Online Interpreter: If you want to try Coconut in your browser, check out Coconut’s online interpreter.
FAQ: If you have general questions about Coconut—like who Coconut is built for and whether or not you should use it—Coconut’s frequently asked questions are often the best place to start.
Create a New Issue: If you’re having a problem with Coconut, creating a new issue detailing the problem will allow it to be addressed as soon as possible. Creating a new issue is also absolutely welcome as a way to ask any questions you might have about Coconut.
Releases: Want to know what’s been added in recent Coconut versions? Check out the release log for all the new features and fixes.

Credits

Contributors

This project exists thanks to all the people who contribute! Become a contributor.

Backers

Thank you to all our backers! Become a backer.

Sponsors

Support Coconut by becoming a sponsor. Your logo will show up here with a link to your website. Become a sponsor.

functional programming language compiler pattern pattern-matching algebraic data type data types lambda lambdas lazy evaluation lazy list lazy lists tail recursion call recursive recursive_iterator infix function composition compose partial application currying curry pipeline pipe unicode operator operators frozenset literal syntax destructuring assignment fold datamaker prepattern iterator generator none coalesce coalescing statement lru_cache memoization backport typing embed PEP 622 overrides islice itertools functools TYPE_CHECKING Expected breakpoint help reduce takewhile dropwhile tee count makedata consume process_map thread_map addpattern recursive_generator fmap starmap reiterable scan groupsof memoize zip_longest override flatten ident call safe_call flip const lift lift_apart all_equal collectby mapreduce multi_enumerate cartesian_product multiset cycle windowsof and_then and_then_await async_map py_chr py_dict py_hex py_input py_int py_map py_object py_oct py_open py_print py_range py_str py_super py_zip py_filter py_reversed py_enumerate py_raw_input py_xrange py_repr py_breakpoint py_min py_max _namedtuple_of reveal_type reveal_locals MatchError CoconutWarning __fmap__ __iter_getitem__ data match case cases where addpattern then operator type copyclosure λ

Metadata

Release files for coconut 3.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for coconut 3.2.0
File	Size	Uploaded	Provenance
coconut-3.2.0.tar.gz	397.5 kB	Dec 31, 2025	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for coconut 3.2.0
File	Interpreter	ABI	Platform	Reset
coconut-3.2.0-py2.py3-none-any.whl 330.0 kB Dec 31, 2025 Without provenance	Python 2, Python 3	none	any	Details

Total release size: 727.5 kB

Release files / coconut-3.2.0.tar.gz

Download URL	coconut-3.2.0.tar.gz
Size	397.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`0c64554deef3a35b2688368315cc2087dd8244e1b13d6b869fe5c2e679d6a0ad`
BLAKE2b-256 checksum How to use checksums	`06f438f315a1d8568257a74fe482e925368a2ef4bccc9b1d5751f003570bccc5`
Upload date	Dec 31, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.9`

Release files / coconut-3.2.0-py2.py3-none-any.whl

Download URL	coconut-3.2.0-py2.py3-none-any.whl
Size	330.0 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`75488d26472bab53ea9dc61e2fe2c9af1095a7bcf1ec0e99aead9b35d3e136eb`
BLAKE2b-256 checksum How to use checksums	`585a06ef8e615441fe5ce7517d1af7ccc4c7ceeb0bf463391995347782425480`
Upload date	Dec 31, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.9`

Security for coconut 3.2.0

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