Reader small image

You're reading from  Network Science with Python

Product typeBook
Published inFeb 2023
PublisherPackt
ISBN-139781801073691
Edition1st Edition
Right arrow
Author (1)
David Knickerbocker
David Knickerbocker
author image
David Knickerbocker

David Knickerbocker is the chief engineer and co-founder of VAST-OSINT. He has over two decades of rich experience working with and around data in his career, with his focus being on data science, data engineering, software development, and cybersecurity.
Read more about David Knickerbocker

Right arrow

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Graph Data Science with Neo4j

Estelle Scifo

ISBN: 9781804612743

  • Use the Cypher query language to query graph databases such as Neo4j
  • Build graph datasets from your own data and public knowledge graphs
  • Make graph-specific predictions such as link prediction
  • Explore the latest version of Neo4j to build a graph data science pipeline
  • Run a scikit-learn prediction algorithm with graph data
  • Train a predictive embedding algorithm in GDS and manage the model store

Modern Time Series Forecasting with Python

Manu Joseph

ISBN: 9781803246802

  • Find out how to manipulate and visualize time series data like a pro
  • Set strong baselines with popular models such as ARIMA
  • Discover how time series forecasting can be cast as regression
  • Engineer features for machine...

Packt is searching for authors like you

If you’re interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

Share Your Thoughts

Now you’ve finished Network Science with Python, we’d love to hear your thoughts! If you purchased the book from Amazon, please click here to go straight to the Amazon review page for this book and share your feedback or leave a review on the site that you purchased it from.

Your review is important to us and the tech community and will help us make sure we’re delivering excellent quality content.

Download a free PDF copy of this book

Thanks for purchasing this book!

Do you like to read on the go but are unable to carry your print books everywhere?

Is your eBook purchase not compatible with the device of your choice?

Don’t worry, now with every Packt book you get a DRM-free PDF version of that book at no cost.

Read anywhere, any place, on any device. Search, copy, and paste code from your favorite technical books directly into your application.

The perks don’t stop there, you can get exclusive access to discounts, newsletters, and great free content in your inbox daily

Follow these simple steps to get the benefits:

  1. Scan the QR code or visit the link below

https://packt.link/free-ebook/9781801073691

  1. Submit your proof of purchase
  2. That’s it! We’ll send your free PDF and other benefits to your email directly
lock icon
The rest of the chapter is locked
You have been reading a chapter from
Network Science with Python
Published in: Feb 2023Publisher: PacktISBN-13: 9781801073691
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
undefined
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime

Author (1)

author image
David Knickerbocker

David Knickerbocker is the chief engineer and co-founder of VAST-OSINT. He has over two decades of rich experience working with and around data in his career, with his focus being on data science, data engineering, software development, and cybersecurity.
Read more about David Knickerbocker