Stígðu inn í heim af óteljandi sögum
Óskáldað efni
Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you’ll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis.
Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you’ll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you’ll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you’ll also get to grips with adapting your network model to evolving data requirements.
By the end of this book, you’ll be able to transform tabular data into powerful graph data models. In essence, you’ll build your knowledge from beginner to advanced-level practitioner in no time.
© 2023 Packt Publishing (Rafbók): 9781804619346
Útgáfudagur
Rafbók: 30 juni 2023
Yfir 900.000 hljóð- og rafbækur
Yfir 400 titlar frá Storytel Original
Barnvænt viðmót með Kids Mode
Vistaðu bækurnar fyrir ferðalögin
Besti valkosturinn fyrir einn notanda
3290 kr /mánuði
Yfir 900.000 hljóð- og rafbækur
Engin skuldbinding
Getur sagt upp hvenær sem er
Fyrir þau sem vilja deila sögum með fjölskyldu og vinum.
Byrjar á 3990 kr /mánuður
Yfir 900.000 hljóð- og rafbækur
Engin skuldbinding
Getur sagt upp hvenær sem er
3990 kr /mánuði
Íslenska
Ísland
