# aima-python
Python 3 code for the book *Artificial Intelligence: A Modern Approach.*
Eventually, this repository should have code for everything in the book.
# Style Guide
We default to [Pep 8](https://www.python.org/dev/peps/pep-0008), but with a few exceptions:
- I'm not too worried about an occasional line longer than 79 characters.
- You don't need two spaces after a sentence-ending period.
- Strunk and White is [not a good guide for English](http://chronicle.com/article/50-Years-of-Stupid-Grammar/25497).
- I prefer more concise docstrings; I don't follow [Pep 257](https://www.python.org/dev/peps/pep-0257/).
- Not all constants have to be UPPERCASE.
- [Pep 484](https://www.python.org/dev/peps/pep-0484/) 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
# Language Popularity
Are we right to concentrate on Java and Python versions of the code?
What languages do students already know? The [TIOBE Index](http://www.tiobe.com/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
|