Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means.
Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you''ll remember important things you''ve forgotten and discover classic solutions to your "new" problems
Key Features
- Breadth-first and depth-first search algorithms
- Constraints satisfaction problems
- Common techniques for graphs
- Adversarial Search
- Neural networks and genetic algorithms
- Written for data engineers and scientists with experience using Python.
For readers comfortable with the basics of
