Network Science With Python Explore The Networks Around Us Using Network Science Social Network Analysis And Machine Learning(1st Edition)
Authors:
David Knickerbocker
In Stock: 1 Left
Shipment time
Expected shipping within 2 - 3 DaysPopular items with books
Total Price:
$0
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 1801073694, 978-1801073691
Book publisher: Packt Publishing
Book Price $0 : The book 'Network Science with Python: Explore the Networks Around Us Using Network Science, Social Network Analysis, and Machine Learning' by David Knickerbocker provides a deep dive into the world of network science using the Python programming language. This comprehensive guide details methodologies and techniques central to understanding complex networks, including social networks, biological networks, and technological networks. The book is structured to cater to both beginners and advanced readers, featuring a clear and concise table of contents that guides the reader through basic concepts to more sophisticated topics. Readers can explore how Python, equipped with libraries like NetworkX, enables the analysis of vast datasets to unravel the intricate relationships within networks. The author elucidates the practical applications of network theory, supplemented with tutorials and examples that act as a solution manual for aspiring network scientists. Although there are no main characters in the traditional sense, the book positions the reader as an active participant, engaging with exercises that often include an Answer Key for self-assessment and validation of understanding. Furthermore, it highlights the integration of machine learning with network science, illustrating how Python's versatility empowers users to conduct predictive analyses. The book has received positive reception for its pragmatic approach to teaching a complex subject, with readers appreciating its clarity and comprehensiveness. This guide comes with a cheap, easy-to-use solution manual ideal for students on a budget.
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March 2, 2024