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Classic Computer Science Problems in Python (Paperback)
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Classic Computer Science Problems in Python (Paperback)
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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
Python About the technology Python is used everywhere for web
applications, data munging, and powerful machine learning
applications. Even problems that seem new or unique stand on the
shoulders of classic algorithms, coding techniques, and engineering
principles. Master these core skills, and you'll be ready to use
Python for AI, data-centric programming, deep learning, and the
other challenges you'll face as you grow your skill as a
programmer. David Kopec teaches at Champlain College in Burlington,
VT and is the author of Manning's Classic Computer Science
Problemsin Swift.
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