Classic Computer Science Problems in Python av David Kopec

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<p>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. </p><p> </p><p><i>Classic Computer Science Problems in Python</i> 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</p><p><b> </b></p><p><b>Key Features</b></p><p>¿   Breadth-first and depth-first search algorithms</p><p>¿   Constraints satisfaction problems</p><p>¿   Common techniques for graphs</p><p>¿   Adversarial Search</p><p>¿   Neural networks and genetic algorithms</p><p>¿   Written for data engineers and scientists with experience using Python. </p><p> </p><p>For readers comfortable with the basics of