Skip to main content

Python playground to learn lambda calculus

Project description

Curry party

curryparty is a library created to explore, visualize and teach lambda-calculus concepts.

Install

Run pip install curryparty or uv add curryparty depending on your package manager.

How to use

from curryparty import L, V

# build expressions idiomatically
identity = L("x")._("x").build()

zero = L("f", "x")._("x").build()

omega = L("x")._("x").call("x").build()

# you can create more complex terms:

succ = L("n", "f", "x")._("f").call(
    V("n").call("f").call("x")
)

# If you try to combine them, nothing will happen:
bomb = omega(omega)
one = s(zero)

# You need to beta-reduce them:
bomb.beta()
one_with_first_reduction = one.beta()

# if you want the final form:
term = s(zero)
while term is not None:
    term = term.beta()
    print(term)

# this is equivalent to:
for x in term.reduction_chain():
    print(x)

But the main point of this library is the svg-based display system. If you use a notebook such as jupyternotebook or marimo, you will see something like this:

notebook_display

You can also use term.show_reduction to get an animated version.

Tutorial

lambda.py shows a tutorial in marimo format. Click on the button to try it out:

Open with marimo

How it works

Under the wood, all the terms are converted into a list of nodes, that can either be a lambda, an application (with 2 arguments) or a variable (with 0 arguments).

For efficiency, they are converted to a polars dataframe in prefix traversal order. If you want to understand how it works, start by looking at the .nodes attribute of any term.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

curryparty-0.3.3.tar.gz (10.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

curryparty-0.3.3-py3-none-any.whl (11.8 kB view details)

Uploaded Python 3

File details

Details for the file curryparty-0.3.3.tar.gz.

File metadata

  • Download URL: curryparty-0.3.3.tar.gz
  • Upload date:
  • Size: 10.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for curryparty-0.3.3.tar.gz
Algorithm Hash digest
SHA256 c677c2b47133eb3898994d48aa1bab411895a30fa39bd01cd29a72ec7e3653b1
MD5 7dff45ad687b098770943d2b60d74a13
BLAKE2b-256 c80fb2c1873e8b34a9e30a3c0b9c6ea880375b5ce0e351e1595620b5001902cb

See more details on using hashes here.

Provenance

The following attestation bundles were made for curryparty-0.3.3.tar.gz:

Publisher: publish.yml on rambip/curryparty

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file curryparty-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: curryparty-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 11.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for curryparty-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d37944d05f073be993f510168c73b0976e052b12a6a99f1e794b1148eafd97b2
MD5 23f84f0089bcf2729c863c54128bcd15
BLAKE2b-256 8ae9fd9ceb93fd2521ccdcc681179059f83d21a88c092e79ceb12b9eb91d9ae2

See more details on using hashes here.

Provenance

The following attestation bundles were made for curryparty-0.3.3-py3-none-any.whl:

Publisher: publish.yml on rambip/curryparty

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page