Book

Graph Data Modeling in Python

Graph Data Modeling with Python is your guide to building real-world use cases of how to prepare graph data for modeling, converting tabular to graph data structures, and working through simple graph use cases using degree centrality. Using the Python packages igraph and NetworkX, you’ll build your skills in various types of graph analytics.

Offered by

Difficulty Level

Intermediate

Completion Time

7h52m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 7h52m total length

1. PI

2. Introducing Graphs in the Real World

3. Working with Graph Data Models

4. Data Model Transformation – Relational to Graph Databases

5. Building a Knowledge Graph

6. Working with Graph Databases

7. Pipeline Development

8. Refactoring and Evolving Schemas

9. Perfect Projections

10. Common Errors and Debugging

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