Python 3 code for the book Artificial Intelligence: A Modern Approach.
Eventually, this repository should have code for everything in the book.
We default to Pep 8, but with a few exceptions:
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I'm not too worried about an occasional line longer than 79 characters.
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You don't need two spaces after a sentence-ending period.
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Strunk and White is not a good guide for English.
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I prefer more concise docstrings; I don't follow Pep 257.
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Not all constants have to be UPPERCASE.
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Pep 484 type annotations are allowed but not required. If your parameter name is already suggestive of the name of a type, you don't need an annotation, e.g.:
def retry(url: Url) -> None: # This 'Url' annotation should be avoided; but '-> None' is useful
Are we right to concentrate on Java and Python versions of the code? What languages do students already know? The TIOBE Index says the top five are:
Java, C, C++, C#, Python
What languages are instructors recommending for their AI class?
To get an approximate
idea, I gave the query norvig russell "Modern Approach" along with
the names of various languages and looked at the estimated counts of results on
various dates. However, I don't have much confidence in these figures...
| Language | 2004 | 2005 | 2007 | 2010 | 2016 |
|---|---|---|---|---|---|
| none | 8,080 | 20,100 | 75,200 | 150,000 | 132,000 |
| java | 1,990 | 4,930 | 44,200 | 37,000 | 50,000 |
| c++ | 875 | 1,820 | 35,300 | 105,000 | 35,000 |
| lisp | 844 | 974 | 30,100 | 19,000 | 14,000 |
| prolog | 789 | 2,010 | 23,200 | 17,000 | 16,000 |
| python | 785 | 1,240 | 18,400 | 11,000 | 12,000 |