Complex network analysis of collections of connected items, words, concepts, or people can now be automated and programmed in Python. Author Dmitry Zinoviev shows how to construct, analyze, and visualize networks with networkx, a Python language module, to explore their structure and individual elements. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer.
Author: Dmitry Zinoviev Publisher: Pragmatic Bookshelf Date: January 2018 Pages: 260 ISBN: 978-1680502695 Print: 1680502697 Kindle: B079ZN9K5M Audience: Python programmers interested in network analysis, or complex data analysis (CNA) or social network analysis (SNA) instructors, researchers and practitioners. Level: Intermediate Category: Data Science
- Explore simple networks
- Convert real-life and synthetic network graphs into networkx data structures.
- Learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection.
- Get familiar with presentation-quality network visualization tools such as Gephi
- Adapt the patterns from the case studies to your problems.
- Explore big networks with NetworKit, a high-performance networkx substitute.
For recommendations of Data Analysis books see Reading Your Way Into Big Data, and for books on Python, see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.
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Pro Database Migration to Azure
Author: Kevin Kline et al Publisher: Apress Pages: 352 ISBN: 978-1484282298 Print: 1484282299 Kindle: B0B924H21P Audience: Managers & architects Rating: 4 Reviewer: Ian Stirk
This book aims to give you a holistic approach to migrating on-premise databases to Azure, how does it fare?
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SQL Server Query Tuning and Optimization (Packt)
Author: Benjamin Nevarez Publisher: Packt Publishing Pages: 446 ISBN: 9781803242620 Print: 1803242620 Kindle: B0B42SVBFY Audience: Intermediate to advanced DBAs and developers Rating: 4.7 Reviewer: Ian Stirk
This book aims to give you the tools and knowledge to get peak performance from your que [ ... ]
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