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Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation
book

Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation

by Chenyang Shi
October 2025
Intermediate to advanced
283 pages
7h 2m
English
Apress
Content preview from Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2025
C. ShiMastering Algorithms with Pythonhttps://doi.org/10.1007/979-8-8688-1799-1_7

7. A Tale of Ten Cities

Chenyang Shi1  

In this chapter, we will introduce and learn five important algorithms via fictitious examples of a consultant and the ten most populous cities in the United States. The algorithms we are going to review are Simulated Annealing, Genetic Algorithm, Dijkstra’s Algorithm, Gradient Descent, and K-means Clustering. Buckle up, and let us begin.

A Traveling Consultant: Part 1

As a consultant, ...

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Publisher Resources

ISBN: 9798868817991Purchase LinkPublisher Website