Constraint-Satisfaction Problems in Python

Constraint-Satisfaction Problems in Python

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United States Coding Tech
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Published on ● Video Link: https://www.youtube.com/watch?v=21J-UjA2u_c


Duration: 1:05:26
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Author David Kopec discusses Constraint-Satisfaction Problems in Python. To learn more, see David's book Classic Computer Science Problems in Python | http://mng.bz/opAp

Use the discount code TWITKOPE40 for 40% off of any Manning title.

A large number of problems which computational tools solve can be broadly categorized as constraint-satisfaction problems (CSPs). CSPs are composed of variables with possible values which fall into ranges known as domains. Constraints between the variables must be satisfied in order for constraint-satisfaction problems to be solved. Those three core concepts—variables, domains, and constraints—are simple to understand, and their generality underlies the wide applicability of constraint-satisfaction problem solving.



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Tags:
python
python programming
variables
contraints