Practical Graph Intelligence 1

Algorithms, Networks and Python Implementations

By Abhishek Kumar, Inam Ul Haq, Pramod Singh Rathore, Priya Batta | Publisher: Wiley

About the book

Practical Graph Intelligence 1 is positioned at the intersection of graph theory, network science and applied computing, offering a structured pathway for understanding and implementing graph-based solutions.

This book systematically develops core concepts in graph algorithms and network analysis, while emphasizing practical implementation using Python. It explores fundamental structures, traversal techniques, optimization strategies and real-world network modeling, enabling readers to translate theory into scalable applications. Through clear explanations and hands-on examples, the book supports learners in building analytical skills required for domains such as artificial intelligence (AI), data science, cybersecurity and social network analysis.

Designed for students, researchers and professionals, this book bridges the gap between mathematical foundations and computational practice, fostering the development of efficient and intelligent network-driven systems.

Editions of Practical Graph Intelligence 1

Hardcover
ISBN 9781836691402
EBook
ISBN 9781394479832
EBook
ISBN 9781394479818
EBook
ISBN 9781394479825

Read an Excerpt

Practical Graph Intelligence 1 is positioned at the intersection of graph theory, network science and applied computing, offering a structured pathway for understanding and implementing graph-based solutions.

This book systematically develops core concepts in graph algorithms and network analysis, while emphasizing practical implementation using Python. It explores fundamental structures, traversal techniques, optimization strategies and real-world network modeling, enabling readers to translate theory into scalable applications. Through clear explanations and hands-on examples, the book supports learners in building analytical skills required for domains such as artificial intelligence (AI), data science, cybersecurity and social network analysis.

Designed for students, researchers and professionals, this book bridges the gap between mathematical foundations and computational practice, fostering the development of efficient and intelligent network-driven systems.

Frequently Asked Questions

What is Practical Graph Intelligence 1 about?

Practical Graph Intelligence 1 is positioned at the intersection of graph theory, network science and applied computing, offering a structured pathway for understanding and implementing graph-based solutions.

This book systematically develops core concepts in graph algorithms and network analysis, while emphasizing practical implementation using Python. It explores fundamental structures, traversal techniques, optimization strategies and real-world network modeling, enabling readers to translate theory into scalable applications. Through clear explanations and hands-on examples, the book supports learners in building analytical skills required for domains such as artificial intelligence (AI), data science, cybersecurity and social network analysis.

Designed for students, researchers and professionals, this book bridges the gap between mathematical foundations and computational practice, fostering the development of efficient and intelligent network-driven systems.

What core themes, tropes, or subjects are explored in Practical Graph Intelligence 1?

Computing and Information Technology > Computer science

Where can I read a sample of Practical Graph Intelligence 1?

You can read an official preview of the few pages here https://www.book2look.com/book/9781836691402

Is Practical Graph Intelligence 1 part of a series, and can it be read as a standalone?

Yes it is a part of series ISTE Invoiced

Who is/are the Author/s of the book Practical Graph Intelligence 1?

Abhishek Kumar, Inam Ul Haq, Pramod Singh Rathore, Priya Batta

Who is the Publisher of the book Practical Graph Intelligence 1?

Wiley

What are the ISBN numbers for the physical and digital editions?

Practical Graph Intelligence 1 is available as hardcover(ISBN 9781836691402) and ebook(ISBN 9781394479832) and ebook(ISBN 9781394479818) and ebook(ISBN 9781394479825)

Where can I buy Practical Graph Intelligence 1 online or support local independent bookshops?

You can buy Practical Graph Intelligence 1 from below

Where can I buy Practical Graph Intelligence 1?