Scheme in Python

The Scheme in Python series has been completed! Since there are still a few readers of this blog and I haven’t yet setup domain forwarding, I’ll post the links page here.

The Scheme in Python project is a port of the Scheme in Scheme project. The goal is to implement a small subset of Scheme as an interpreter written in Python.

There are a number of goals for this project. First, implementing Scheme in Scheme allowed us to “cheat” a bit by having access to the Scheme reader and data structures. Using Python as the implementation language will force us to code the reader by hand and create new data structures where there isn’t a one-to-one mapping from Scheme to Python.

There are also two auxiliary goals to this project. Using Python should make this more accessible to programmers who are interested in language development, but are unfamiliar with Scheme. Also I’m using this project as a way to familiarize myself with branching and merging in git, so each post will correspond to a branch in the repository.

All the code for this project will be hosted on GitHub. The code is licensed under a BSD license if you are interested in forking it for any reason.

This series will focus on building a very simple interpreter for the purpose of learning the steps involved in building one. For this reason there will be no/very little error checking or optimization. This port will be slightly more complicated than Scheme in Scheme so if you are interested in an even simpler interpreter look here.

Part 0 | Reading from stdin

Part 1 | Numbers

Part 2 | Extending the read layer

Part 3 | Pairs and linked lists

Part 4 | Self-evaluating values

Part 5 | Assignment and define

Part 6 | scheme-syntax macro

Part 7 | Refactor and load

Part 8 | Primitive procedures and apply

Part 9 | Environments

Part 10 | lambda

* Most implementations of Scheme in Python use regular expressions in the reader. I chose to write a parser by hand so I could explain some of the details of parsing. As this is an educational exercise I think this is appropriate.

Other resources for writing a Scheme in Python and
Simple Schemes written by Peter Norvig.

I haven’t got the chance to look at Psyche or pyscheme, but you may be interested in them as well.

Other resources for writing a Scheme in Scheme or other languages

Structure and Interpretation of Computer Programs
Chapter 4 onward covers designing and implementing a number of interpreters and was the inspiration for this interpreter.

An Incremental Approach to Compiler Construction (PDF)
Great paper on building a Scheme compiler from the ground up. Each step is simple and results in a fully working compiler.

Scheme from Scratch
The blog series that inspired and guided the development of the original Lispy. Even if you don’t know C (I didn’t at the time) you will still be able to follow along and construct your own Scheme. Peter’s coding style is easy and pleasant to read and he mentions tips for going in different directions for your own implementations.

A Self-Hosting Evaluator using HOAS (PDF)
An interesting implementation of Scheme using a Higher-Order Abstract Syntax representation. This paper, An Incremental Approach to Compiler Construction and SICP were the primary motivating forces behind my interest in PL design and implementation. The author, Eli Barzilay, has many other interesting papers at his site.

Chai – Math ∩ Programming
A series detailing the development of Chai (what appears to be a Scheme-like language). It is well written and currently in development. I’ll post more information when it’s available.

Scheme in Scheme
Another series that is just beginning about writing a bytecode interpreter. It appears to be put on hold as of April 2011.

Lisp in Scheme
An implementation of McCarthy’s original Lisp in Scheme.


Lisp in Small Pieces
Great book. Contains code for 11 interpreters and 2 compilers. Source code from the book available here.

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