April 2019
Beginner
190 pages
4h 54m
English
Overview
Delve into the exciting field of network science with "Network Science with Python and NetworkX Quick Start Guide." This book introduces you to fundamental concepts in analyzing and visualizing networks using Python and the NetworkX library. Through practical examples and step-by-step tutorials, you'll grasp essential techniques for understanding networks and their real-world applications.
What this Book will help me do
- Understand and utilize key concepts of network science to analyze relations and structures.
- Leverage the Python programming language and NetworkX library to represent and manipulate networks.
- Explore network layout visualization options including circular, shell, and directed layouts creatively.
- Develop practical expertise in identifying important network features and metrics relevant for analysis.
- Simulate behaviors on networks to model and solve complex real-world problems ethically and efficiently.
Author(s)
The author, None Platt, is a seasoned expert in network science and Python programming, dedicated to enhancing the accessibility of technical knowledge. With extensive experience in both educational instruction and practical applications of scientific computing, they bring a unique clarity to the topic. Their passion for empowering professionals to solve real-world problems shines through this guide.
Who is it for?
This book is ideal for programmers and data scientists enthusiastic about exploring network science using Python. If you're familiar with Python programming and looking to dive into network analysis to address complex relational data challenges, this guide offers the foundations. This book makes advanced network theory accessible even for those new to the field while delivering actionable insights.
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