This book offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph based problem-solving in the real world. Through clear diagrams, engaging examples, and Python code, Jeremy Kubica builds a solid foundation for addressing graph problems in your own projects.

<ASIN:1718503865>

The book delves into topological sorting, minimum spanning trees, strongly connected components, and random walks. Readers will confront challenges like graph coloring and the traveling salesperson problem. and prepare to view the world through the lens of graphs—where connections reveal insights and algorithms unlock new possibilities.

Author: Jeremy Kubica
Publisher: No Starch Press
Date: November 2024
Pages: 416
ISBN: 978-1718503861
Print: 1718503865
Kindle: B0CZ8QW1DV
Audience: General
Level: Intermediate
Category: Data Science

• Implement powerful algorithms, including Dijkstra’s, A*, and Floyd-Warshall
• Tackle puzzles and optimize pathfinding with newfound confidence
• Uncover real-world applications in social networks  and transportation systems
• Develop robust intuition for when and why to apply specific graph techniques

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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