This video course introduces DuckDB, an open-source database for data analytics in Python. It covers creating databases from files (Parquet, CSV, JSON), querying with SQL and the Python API, concurrent access, and integration with pandas and Polars.
An in-process analytics database, DuckDB can work with surprisingly large data sets without having to maintain a distributed multiserver system. Best of all? You can analyze data directly from your Python app.
This article explains how to import GEDCOM files containing genealogy/ancestry data into Neo4j using AuraDB Free. It includes step-by-step instructions for pre-processing the data with Python, importing the data into Neo4j, and exploring the data using the Neo4j Browser and Neo4j Bloom. The article also provides code examples for adding new relationships to the data and styling the graph visualization.
