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Can I read Modern Graph Theory Algorithms with Python : Harness the Power of Graph Algorithms and Real-world Network Applications Using Python on EtoBox?
Modern Graph Theory Algorithms with Python : Harness the Power of Graph Algorithms and Real-world Network Applications Using Python by Colleen M. Farrelly, Franck Kalala Mutombo, Michael Giske is a nonfiction available to read on EtoBox.
What is Modern Graph Theory Algorithms with Python : Harness the Power of Graph Algorithms and Real-world Network Applications Using Python about?
Solve challenging and computationally intensive analytics problems by leveraging network science and graph algorithmsKey Features- Learn how to wrangle different types of datasets and analytics problems into networks- Leverage graph theoretic algorithms to analyze data efficiently- Apply the skills you gain to solve a variety of problems through case studies in Python- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionWe are living in the age of big data, and scalable solutions are a necessity. Network science leverages the power of graph theory and flexible data structures to analyze big data at scale.This book guides you through the basics of network science, showing you how to wrangle different types of data (such as spatial and time series data) into network structures. You'll be introduced to core tools from network science to analyze real-world case studies in Python. As you progress, you'll find out how to predict fake news spread, track pricing patterns in local markets, forecast stock market crashes, and stop an epidemic spread. Later, you'll learn about advanced techniques in network science, such as creating and querying graph databases, class
Who reads Modern Graph Theory Algorithms with Python : Harness the Power of Graph Algorithms and Real-world Network Applications Using Python?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Colleen M. Farrelly, Franck Kalala Mutombo, Michael Giske
- Publisher
- Packt Publishing, Limited
- Published
- 2024
- Language
- EN
- ISBN
- 9781805127895
- Category
- nonfiction
- Subjects
- Language Learning, Computer Science, Programming
- Updated
- 2026-03-25
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