Skip to main content

A Scheme kernel for Jupyter that can use Python libraries

Project description

# Calysto Scheme

[![codecov](https://codecov.io/gh/Calysto/calysto_scheme/branch/master/graph/badge.svg)](https://codecov.io/gh/Calysto/calysto_scheme) [![CircleCI](https://circleci.com/gh/Calysto/calysto_scheme.svg?style=svg)](https://circleci.com/gh/Calysto/calysto_scheme)

You can try Calysto Scheme without installing anything by clicking on the following button:

[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/Calysto/calysto_scheme/master?filepath=notebooks%2FReference%20Guide%20for%20Calysto%20Scheme.ipynb)

Calysto Scheme is a real Scheme programming language, with full support for continuations, including call/cc. It can also use all Python libraries. Also has some extensions that make it more useful (stepper-debugger, choose/fail, stack traces), or make it better integrated with Python. For more details on using Calysto Scheme, see:

http://nbviewer.jupyter.org/github/Calysto/calysto_scheme/blob/master/notebooks/Reference%20Guide%20for%20Calysto%20Scheme.ipynb

In Jupyter notebooks, because Calysto Scheme uses [MetaKernel](https://github.com/Calysto/metakernel/blob/master/README.rst), it has a fully-supported set of “magics”—meta-commands for additional functionality. This includes running Scheme in parallel. See all of the [MetaKernel Magics](https://github.com/Calysto/metakernel/blob/master/metakernel/magics/README.md).

Calysto Scheme is written in Scheme, and then translated into Python (and other backends). The entire functionality lies in a single Python file: https://github.com/Calysto/calysto_scheme/blob/master/calysto_scheme/scheme.py However, you can easily install it (see below).

Calysto Scheme in use:

## Install

You can install Calysto Scheme with Python3:

` pip3 install --upgrade calysto-scheme --user python3 -m calysto_scheme install --user `

or in the system kernel folder with:

` sudo pip3 install --upgrade calysto-scheme sudo python3 -m calysto_scheme install `

You can also use the –sys-prefix to install into your virtualenv.

Change pip3/python3 to use a different pip or Python. The version of Python used will determine how Calysto Scheme is run.

Use it in the Jupyter console, qtconsole, or notebook:

` jupyter console --kernel calysto_scheme jupyter qtconsole --kernel calysto_scheme jupyter notebook `

You can also just use the Python program, but it doesn’t have a fancy Read-Eval-Print Loop. Just run:

` python calysto_scheme/scheme.py `

## Requires

  • Python3
  • metakernel (installed automatically)

Calysto Scheme can also be un under PyPy for increased performance.

## Features

Calysto Scheme supports:

  • continuations
  • use of all Python libraries
  • choose/fail - built in fail and try again
  • produces stack trace (with line numbers), like Python
  • test suite

Planned:

  • Object-oriented class definitions and instance creation
  • complete Scheme functions (one can fall back to Python for now)

Limitations:

  • Runs slow on CPython; try PyPy

Project details


Download files

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

Files for calysto_scheme, version 1.4.6
Filename, size & hash File type Python version Upload date
calysto_scheme-1.4.6-py2.py3-none-any.whl (313.4 kB) View hashes Wheel py2.py3
calysto_scheme-1.4.6.tar.gz (198.9 kB) View hashes Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page