Learning with lis.py
This repository contains variations of Peter Norvig's lis.py interpreter for a subset of Scheme, described in his post (How to Write a (Lisp) Interpreter (in Python)).
Provenance, Copyright and License
lis.py is published in the norvig/pytudes repository on Github. The copyright holder is Peter Norvig and the code is licensed under the MIT license.
Unless otherwise noted, I wrote the changes and additions described in the README files in each directory.
References
Articles
- Norvig, Peter: (How to Write a (Lisp) Interpreter (in Python))
- Norvig, Peter: (An ((Even Better) Lisp) Interpreter (in Python))
- Graham, Paul: The Roots of Lisp
- Steele, Guy Lewis, Jr.; Sussman, Gerald Jay: The Art of the Interpreter, or the Modularity Complex
- McCarthy, John: Recursive functions of symbolic expressions and their computation by machine, Part I
Books
- Abelson, Harold; Sussman, Gerald Jay; Sussman, Julie: Structure and Interpretation of Computer Programs, Second Edition (SICP)
- Dybvig, R. Kent: The Scheme Programming Language, Fourth Edition (TSPL)
- Harvey, Brian; Wright, Matthew: Simply Scheme: Introducing Computer Science, Second Edition
- Friedman, Daniel P.; Felleisen, Matthias: The Little Schemer, Fourth Edition
- Butterick, Mathew: Beautiful Racket—an introduction to language-oriented programming using Racket
- Felleisen, Matthias; Findler, Robert Bruce; Flatt, Matthew; Krishnamurthi, Shriram: How to Design Programs, Second Edition
- Krishnamurthi, Shriram: Programming Languages: Application and Interpretation (PLAI)
Interpreters and tools
- Racket: the Language-Oriented Programming Language
- Chicken Scheme: a practical and portable Scheme system
- A Meta-Circular Interpreter for Scheme: example 12.7 from TSPL
- McCarthy's original Lisp converted to Common Lisp by Paul Graham (local copy, original download)
Luciano Ramalho
São Paulo, August 23, 2021
GitHub - fluentpython/lispy: Learning with Peter Norvig’s lis.py interpreter
Learning with Peter Norvig’s lis.py interpreter. Contribute to fluentpython/lispy development by creating an account on GitHub.
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