Solving Every Sudoku Puzzle
by Peter Norvig Note: This page is the original 2006 essay; an updated Python 3 Jupyter notebook is available here and should probably be read instead of this page. In this essay I tackle the problem of solving every Sudoku puzzle. It turns out to be quite easy (about one page of code for the main idea and two pages for embellishments) using two ideas: constraint propagation and search. Sudoku Not
Code for Paradigms of Artificial Intelligence Programming
Code for Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
(An ((Even Better) Lisp) Interpreter (in Python))
In a previous essay I showed how to write a simple Lisp interpreter in 90 lines of Python: lis.py. In this essay I make the implementation, lispy.py, three times more complicated, but more complete. Each section handles an addition. (1) New data types: string, boolean, complex, port Adding a new data type to Lispy has three parts: the internal representation of the data, the procedures that operat
(How to Write a (Lisp) Interpreter (in Python))
This page has two purposes: to describe how to implement computer language interpreters in general, and in particular to build an interpreter for most of the Scheme dialect of Lisp using Python 3 as the implementation language. I call my language and interpreter Lispy (lis.py). Years ago, I showed how to write a semi-practical Scheme interpreter Java and in in Common Lisp). This time around the go
Teach Yourself Programming in Ten Years
Why is everyone in such a rush? Walk into any bookstore, and you'll see how to Teach Yourself Java in 24 Hours alongside endless variations offering to teach C, SQL, Ruby, Algorithms, and so on in a few days or hours. The Amazon advanced search for [title: teach, yourself, hours, since: 2000 and found 512 such books. Of the top ten, nine are programming books (the other is about bookkeeping). Simi
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